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1
Pei, Qiang, Pengfei Qi, Yunhua Lu, and Le Qin. "Development and Verification of Wireless Vibration Sensors." Buildings 13, no. 7 (2023): 1648. http://dx.doi.org/10.3390/buildings13071648.
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Structural vibration testing is an effective guarantee for the Structural Health Monitoring (SHM) of large-scale civil engineering. Traditional vibration testing has drawbacks such as difficulties in wiring and picking up low-frequency signals, low communication speed, and susceptibility to testing site conditions. In order to improve the universality of wireless vibration sensors, this article develops a wireless vibration sensor, introduces the module composition and basic principles of the sensor, and conducts standard vibration table performance comparison tests between wired acceleration sensors and wireless vibration sensors, verifying the accuracy of wireless vibration sensors. In order to further explore the feasibility of wireless vibration sensor applications, the wired acceleration sensor and wireless vibration sensor were used to analyze the structural dynamic characteristics of the four-layer steel frame structure model in the laboratory, and the comparison was made based on ABAQUS finite element simulation. Finally, the field vibration test was carried out outdoors. The results show that the natural frequency identification results of the wireless vibration sensor and the wired acceleration sensor for the four-story steel frame structure through fast Fourier transform, short-time Fourier transform, and wavelet transform are basically the same, the half-power bandwidth method and logarithmic decrement rate method are used to identify the damping, and wavelet transform is used to identify the vibration mode with minimal error and high accuracy. It shows that the wireless vibration sensor is feasible in practical engineering, has stable and reliable transmission capacity, and can provide certain reference values for earthquake monitoring, building Structural Health Monitoring, etc.
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Oktrison, Oktrison, Erwinsyah Sipahutar, Firdaus Jamsan, Rudi Arif Candra, and Dirja Nur Ilham. "Characteristics of Wireless Vibration Sensors for South Aceh Polytechnic Building." Brilliance: Research of Artificial Intelligence 4, no. 2 (2024): 470–77. https://doi.org/10.47709/brilliance.v4i2.4605.
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Vibration is a back-and-forth movement in a certain time interval that produces waves in a medium. Vibration can occur on a small or large scale. So on a small scale, a vibration sensor is needed to detect certain phenomena such as vibrations of engine capacity and detected pressure. On a large scale, vibration sensors can be used to detect earthquakes and other major phenomena and design a real-time vibration detection system for long distances, so vibration sensor components, controllers, and radio systems are needed. Therefore, researchers made a simple vibration detector using the experimental method. This final project aims to design, realize, and test the characteristics of the MPU 5060 accelerometer vibration sensor that is connected wirelessly. The characteristics of the sensor are tested against the magnitude of the vibration source, the distance of the vibration source, the placement medium, and the detection period. After testing the tool 10 times, it can be concluded that this simple vibration detector functions well and the highest average load results are obtained, namely in the 1-kilogram load test with a value of 1.93026 and the lowest average results are in the ceramic load test with a value of 0.651357.
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Aldawood, Ghufran, and Hamzeh Bardaweel. "Self-Powered Self-Contained Wireless Vibration Synchronous Sensor for Fault Detection." Sensors 22, no. 6 (2022): 2352. http://dx.doi.org/10.3390/s22062352.
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Failure in dynamic structures poses a pressing need for fault detection systems. Interconnected sensor nodes of wireless sensor networks (WSN) offer a solution by communicating information about their surroundings. Nonetheless, these battery-powered sensors have an immense labor cost and require periodical battery maintenance and replacement. Batteries pose a significant environmental threat that is expected to cause irreversible damage to the ecosystem. We introduce a fully integrated vibration-powered energy harvester sensor system that is interfaced with a custom-developed fault detection app. Vibrations are used to power a radio frequency (RF) transmitter that is integrated with the vibration sensor subunit. The harvester-sensor unit is comprised of dual moving magnets that are bordered by coil windings for power and signal generation. The power generated from the harvester is used to operate the transmitter while the signal generated from the sensor is transmitted as a vibration signal. Transmitted values are streamed into a high precision fault detection app capable of detecting the frequency of vibrations with an error of 1%. The app employs an FFT algorithm on the transmitted data and notifies the user when a threshold vibration level is reached. The total energy consumed by the transmitter is 0.894 µJ at a 3 V operation. The operable acceleration of the system is 0.7 g [m/s2] at 5–10.6 Hz.
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Li, Qin, and Tao Wang. "Low-Frequency Wireless Accelerometer to Bridge Health Monitoring." Applied Mechanics and Materials 241-244 (December 2012): 858–62. http://dx.doi.org/10.4028/www.scientific.net/amm.241-244.858.
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According to the requirements and characteristics of the long-span bridge vibration monitoring, this paper presents one kind of low-frequency wireless accelerometer monitoring system based on PIC and MEMS (Micro-electromechanical Systems) acceleration sensor. The system was composed of sensor module, data acquisition and processing module, micro-processing module, wireless transmitting and receiving module, and a computer system. Model 1221 was the sensor chip, the measure data processed by MCU, and transmitted by wireless transmitting module based on Zigbee networks. As the date was received by the wireless receiving module, re process the sensing data by computer, to get the vibration parameter and assess the vibration. The system was validated with standard vibrator.
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Liu, Jun Li, Chun Juan Xu, and Li Feng Wang. "An Intrinsically Safe Study on Accuracy Wireless Vibration Sensor." Advanced Materials Research 1027 (October 2014): 290–93. http://dx.doi.org/10.4028/www.scientific.net/amr.1027.290.
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In order to solve the problem of shearer automation for the automated mining, analysis and processing by a plurality of sensors or observation information sources is the most promising solution to automatically control the shearer’s posture, while there is no vibration sensors with intrinsically safety that can be directly equipped on the shearers under coal mines. In the paper, study on a new intrinsic safe mode vibration sensor to solve the problem, it includes the hardware system designing and data collection programming. At the end, an experiment proves that the intrinsic safe wireless vibration sensor is able to collection the three-dimensional vibration data reliably and in time compared with the other vibration sensors.
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Niu, Ruibin. "Mechanical Vibration Test Based on the Wireless Vibration Monitoring System." Security and Communication Networks 2022 (August 25, 2022): 1–8. http://dx.doi.org/10.1155/2022/9022128.
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In order to apply wireless sensor networks to mechanical vibration monitoring, the author proposes a wireless network topology with multiple data collection points for mechanical vibration monitoring. This structure reduces the transmission load of the data collection point, increases the data transmission rate of the network, balances the energy dissipation in the network, and utilizes the general wireless sensor network hardware platform. The network transmission protocol and related auxiliary mechanisms are designed and implemented, and a wireless vibration monitoring test platform is constructed. The transmission performance of the network structure with multiple data collection points is evaluated through the actual test. The experimental results show that by using the wireless sensor network topology with multiple data collection points, it can meet the requirements of continuous transmission of vibration data obtained by 1 kHz sampling. Conclusion. The system performance of the wireless sensor network based on this network structure has been improved under the condition of general hardware, and the network structure of multiple data collection points shows good performance in the process of high-speed data transmission.
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Ho, Chao Ching, Tzu Hsin Kuo, and Tsung Ting Tsai. "Condition Monitoring in a Machine Tool Spindle Using Wireless Sensor." Advanced Materials Research 126-128 (August 2010): 678–83. http://dx.doi.org/10.4028/www.scientific.net/amr.126-128.678.
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The development of robust condition monitoring system for a machine tool spindle is an important task because the spindle has a significant effect on the processing quality. This paper presents the architecture of data acquisition system for detecting spindle vibration in turning processes in order to develop an on-line condition monitoring system. In this work, a solar-powered wireless sensor system is installed inside the spindle and is used to monitor the machine tool processing state in real time, thereby improving the processing quality. Accelerometer sensors are employed to estimate tool wear; these sensors monitor the vibration of the spindle. The vibration monitoring data of the high-speed spindle is wirelessly transmitted to an external information device in real time. As an alternative to sensors that employ wired power transmission, a solar energy transmission system has been developed to provide the required electric power to the sensor system. The experimental results show that the proposed system successfully measures the vibration frequency of the rotational machine tool spindle.
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Sitanggang, Imanuel, Joy A. I. Damanik, Fajar Hutabarat, and Albert Sagala. "Implementation of Wireless Sensor Network (WSN) for Earthquake Detection." ELKHA 14, no. 2 (2022): 102. http://dx.doi.org/10.26418/elkha.v14i2.56146.
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The current earthquake monitoring system uses a seismometer that can capture seismic vibrations very well but is expensive, heavy, and difficult to launch. Therefore, earthquake monitoring stations can only be launched in a few places in small numbers. This study aims to implement a Wireless Sensor Network (WSN) system for earthquake monitoring. The WSN system has advantages in cost, size, and ease of launch, so it is very appropriate to be used for this purpose. An earthquake detection sensor system has been designed in this study using a vibration sensor and a piezoelectric sensor. When an earthquake occurs, the resulting shock will trigger the vibration sensor and activate the sensor node. The shock data is then captured by the piezo sensor and processed by the microcontroller using Fast Fourier Transform (FFT) to determine the frequency value of the shock. The data is then sent to a gateway via a sensor network and uploaded to the Cayenne monitoring website. Operators can then view the data on the website. Three sensor nodes are implemented in this study. The test is done by placing those sensor nodes together in random positions. A shock is then given to the three sensor nodes, and the resulting data is then observed. The results show that the three sensors can detect, retrieve, process, and send shock data to the Cayenne monitoring website.
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Li, Chen, Yanan Xue, Pengyu Jia, Mangu Jia, Boshan Sun, and Jijun Xiong. "A Wireless Passive Vibration Sensor Based on High-Temperature Ceramic for Harsh Environment." Journal of Sensors 2021 (January 11, 2021): 1–9. http://dx.doi.org/10.1155/2021/8875907.
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This paper proposes a wireless passive vibration sensor based on high-temperature ceramics for vibration measurement in harsh environments such as automotive and advanced engines. The sensor can be equivalent to an acceleration-sensitive RF LC resonance tank. The structural design of the LC tank and the signal wireless sensing mechanism are introduced in detail. The high-temperature mechanical properties of the sensitive structure are analyzed using ANSYS at 25–400°C, which proves the usability of the vibration sensor in high-temperature environment. The three-dimensional integrated manufacturing of vibration sensors with a beam-mass structure based on high-temperature ceramics is completed by a bonding process. Finally, the performance of the sensor is tested on a built experimental platform, and the results show that the vibration sensitivity is approximately 1.303 mv/m·s-2, and the nonlinear error is approximately 4.3%. The vibration sensor can work normally within 250°C, and the sensitivity is 0.989 mv/m·s-2.
10
Jung, Byung, Young Huh, and Jin-Woo Park. "A Self-Powered, Threshold-Based Wireless Sensor for the Detection of Floor Vibrations." Sensors 18, no. 12 (2018): 4276. http://dx.doi.org/10.3390/s18124276.
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Smart buildings will soon be a reality due to innovative Internet of Things (IoT) applications. IoT applications can be employed not only for energy management in a building, but also for solving emerging social issues, such as inter-floor noise-related disputes in apartments and the solitary death of an elderly person. For example, acceleration sensors can be used to detect abnormal floor vibrations, such as large vibrations due to jumping children or unusual vibrations in a house where an elderly person is living alone. However, the installation of a conventional accelerometer can be restricted because of the sense of privacy invasion. In this study, a self-powered wireless sensor using a threshold-based method is studied for the detection of floor vibrations. Vibration levels of a bare slab in a testbed are first measured when a slab is impacted by a bang machine and an impact ball. Second, a piezoelectric energy harvester using slab vibration is manufactured to generate electrical power over a threshold. Next, the correlation among harvested energy, floor vibration, and impact noise is studied to check whether harvested energy can be employed as a condition detection threshold. Finally, a prototype of a self-powered wireless sensor to detect abnormal conditions in floor vibrations is developed and its applicability is demonstrated.
11
Lakshmi, M., Dharur Ramalingappa Aishwarya, Manda Priyanka, Kharatmal Nandini, and Bhukya Sandhya. "Wireless Blackbox for Cars Using Sensors and GPS Module." International Journal for Research in Applied Science and Engineering Technology 12, no. 3 (2024): 2204–15. http://dx.doi.org/10.22214/ijraset.2024.59307.
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Abstract: The main purpose of this wireless black box project is to develop a vehicle black box system that can be installed into any vehicle all over the world. This paradigm is often designed with minimum range of circuits. Wireless black box is basically a device that will indicate all the parameters of a vehicle crash and will also store and display its parameters such as temperature, location, vibration, alcohol limit etc. At the time of accident, the message will be sent from the system built inside the car to the registered mobile numbers such as emergency numbers of police stations, hospitals, family members, owner etc. We have used various types of sensors like temperature sensor, which is used to measure temperature. Vibration sensor measures vibrations felt by the car during accident. Alcohol sensor is located on the steering wheel which will indicate whether the driver is drunk. Micro-electromechanical system sensor is used to indicate tilt during the accident. GSM module, GPS module are some of the devices used in this project which helps in accomplishing the output.
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Kan, Yao Chiang, Hsueh Chun Lin, Yao Ming Hong, Min Li Chang, and Chi Chang Lin. "Combing the Servo Velocity Sensors and the Wireless Sensor Networks: Feasibility Study." Applied Mechanics and Materials 121-126 (October 2011): 3842–46. http://dx.doi.org/10.4028/www.scientific.net/amm.121-126.3842.
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Applying the wireless sensor networks (WSN) to bridge vibration measurement not only provides the on-time monitoring but also reduces the cost of wired system significantly. The servo velocity sensors (SVS) are the most popular sensors of vibration measurement for the civil infrastructures such as bridges. In this feasibility study, a mote-integrated converter module is designed and implemented for connecting the SVS and WSN. The major limitation of this application is the low-bit rate wireless transmission. Through several field measurements, the number of nodes in a wireless channel is advised to be two at most and the multiple single hop schemes are suggested for the vibration monitoring applications. Utilizing the WSN to monitor the on-time bridge vibration is feasible and the application can be further optimized by employing the distribution algorithms specific to the vibration measurements.
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Feng, Zhi Peng, Cheng Zhong Zhang, Bin Xie, Jian Wei Cao, and Xue Jun Li. "A Wireless Sensor Network Based Vibration Monitoring System: Architecture, Principle and Validation." Applied Mechanics and Materials 34-35 (October 2010): 661–65. http://dx.doi.org/10.4028/www.scientific.net/amm.34-35.661.
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Wireless sensor network overcomes the limitations of conventional tethered measurement techniques. It can be used in many situations where conventional tethered sensors cannot be employed due to the safety requirements, space limitation, and wiring cost. Thus it can further expand testing area, and improve measurement performance. A vibration monitoring system is developed based on wireless sensor network. Its architecture and principle are introduced, and its performance is validated by signal generator simulation and a gearbox vibration test.
14
Chen, Yan, Zaffir Chaudhry, and Joseph Mantese. "A low quiescent power wireless rotating machinery condition monitoring system." Annual Conference of the PHM Society 12, no. 1 (2020): 7. http://dx.doi.org/10.36001/phmconf.2020.v12i1.1215.
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Vibration-based monitoring of rotating machinery is rapidly evolving within the aerospace industry with priority on detecting impending failures. The workhorse of such monitoring system remains a piezoelectric-based accelerometers which requires a wired-harnesses, connectors, significant power, and signal conditioning, etc. Raytheon Technologies Research Center (RTRC) along with Collins Aerospace and Sandia National Laboratory have jointly developed an Aluminum-Nitride Resonant Integrated Accelerometer Sensors (ARISE). 
 This is a low power alternate for a conventional wired vibration-based monitoring system. This self-contained sensor system includes: (1) a low quiescent power sensing element with a wake-up module, (2) a wireless communication module, and (3) a coin-cell battery. Leveraging work performed under Defense Advanced Research Projects Agency (DARPA) N-Zero program. This wireless health monitoring system can operate in a quiescent low power mode (~10nW) for a period of several years without servicing. With an exceedance above a preset vibration level (at designate characteristic frequencies), the sensor wakes up and wirelessly sends a warning of a precursor-to-failure.
 The ARISE sensor and wake-up module package has been validated with a replicated vibration environment acquired from a selected rotating machinery subject to progressive damage at the Structural Dynamics Laboratory at RTRC. The failure precursor is successfully detected by the sensor which triggers the wake-up module.
 This research was developed with funding from the Defense Advanced Research Projects Agency (DARPA) Micro Technology Office (MTO), under Aluminum-Nitride Resonant Integrated Accelerometer Sensors (ARISE) program.
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Liu, Changrong, Junjie Yang, Zhenghao Lu, et al. "Design and Implementation of an Event-Driven Smart Sensor Node for Wireless Monitoring Systems." Sensors 23, no. 24 (2023): 9737. http://dx.doi.org/10.3390/s23249737.
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In this paper, an event-driven wireless sensor node is proposed and demonstrated. The primary design objective is to devise a wireless sensor node with miniaturization, integration, and high-accuracy recognition ability. The proposed wireless sensor node integrates two vibration-threshold-triggered energy harvesters that sense and power a threshold voltage control circuit for power management, a microcontroller unit (MCU) for system control, a one-dimensional convolutional neural network (1D-CNN) environment data analysis and vibration events distribution, and a radio frequency (RF) digital baseband transmitter with IEEE 802.15.4-/.6 protocols. The dimensions of the wireless sensor node are 4 × 2 × 1 cm3. Finally, the proposed wireless sensor node was fabricated and tested. The alarming time for detecting the vibration event is less than 6 s. The measured recognition accuracy of three events (knock, shake, and heat) is over 97.5%. The experimental results showed that the proposed integrated wireless sensor node is very suitable for wireless environmental monitoring systems.
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Dadi, Dadi, Supriyati Supriyati, Andini Ayuning Putri, and Nur Hidayat Bagus Pratama. "ALAT PENGAMAN KENDARAAN BERMOTOR BERBASIS INTERNET OF THINGS." Orbith: Majalah Ilmiah Pengembangan Rekayasa dan Sosial 19, no. 3 (2023): 231–43. https://doi.org/10.32497/orbith.v19i3.5255.
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Alat Pengaman Kendaraan Bermotor Berbasis Internet of Things merupakan inovasi keamanan kendaraan bermotor yang dapat dipantau dan dikendalikan melalui gawai sehingga dapat mengurangi dan mencegah tindak pencurian kendaraan bermotor. Alat ini telah berhasil didesain dan dirancang menggunakan ESP 32 sebagai pengendali utamanya. Kontak wireless relay digunakan sebagai pengganti kunci konvesional. Komponen penting lain yang digunakan adalah ESP CAM yang digunakan untuk mengambil tangkapan wajah pengendara. Selain itu beberapa sensor digunakan seperti sensor GPS untuk melacak lokasi kendaraan, sensor vibration yang digunakan untuk mendeteksi guncangan pada kendaraan dan sensor PIR yang diigunakan untuk mendeteksi pergerakan disekitar kendaraan. Buzzer merupakan indikator apabila terjadi tindak pencurian. Untuk memantau alat pengaman ini dapat dilakukan menggunakan aplikasi Telegram.Kata kunci : Buzzer, ESP 32, ESP CAM, LED, Modul Sensor GPS, Modul Sensor PIR, Modul Sensor Vibration, Telegram, Wireless Relay.Motor Vehicle Safety Equipment Based on the Internet of Things is a motor vehicle safety innovation that can be controlled and monitored through a device so that it can reduce and prevent motor vehicle theft. ESP 32 was used as the primary controller in the successful design of this tool. Instead of conventional keys, wireless relay contacts are used. The ESP CAM, which is used to capture the rider's face, is another important component. Additionally, a number of sensors are used, including a GPS sensor to track the location of the vehicle, a vibration sensor to detect shocks outside, and a PIR sensor to detect movement around the vehicle. Buzzers are indicators of theft. To control this security tool can be done using the Telegram application.Keywords : Buzzer, ESP 32, ESP CAM, GPS Sensor Module, LED, PIR Sensor Module, Telegram, Vibration Sensor Module, Wireless Relay.
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Ho, Chao Ching, Tzu Hsin Kuo, and Tsung Ting Tsai. "A Real-Time Condition Monitoring System for a Machine Tool Spindle." Key Engineering Materials 450 (November 2010): 259–62. http://dx.doi.org/10.4028/www.scientific.net/kem.450.259.
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Designing a robust condition monitoring system for a machine tool spindle is an important task because the spindle has a significant effect on the processing quality. In this study, a solar-powered wireless sensor system is installed inside the spindle and is used to monitor the machine tool processing state in real time, thereby improving the processing quality. Accelerometer sensors are employed to estimate tool wear; these sensors monitor the vibration of the spindle. The vibration monitoring data of the high-speed spindle is wirelessly transmitted to an external information device in real time. As an alternative to sensors that employ wired power transmission, a solar energy transmission system has been developed to provide the required electric power to the sensor system. The experimental results show that the proposed system successfully measures the vibration frequency of the rotational machine tool spindle.
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Huang, Li-Te, and Jen-Yuan Chang. "Vibration Characterization and Fault Diagnosis of a Planetary Gearbox with a Wireless Embedded Sensor." Applied Sciences 13, no. 2 (2023): 729. http://dx.doi.org/10.3390/app13020729.
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A planetary gearbox is more complex in structure and motion than a gearbox with a fixed shaft, making it difficult to monitor and make a fault diagnosis in practice. Components must be frequently inspected to avoid excessive wear, but there is no simple way to directly measure wear. The most direct method is to log vibration and temperature signals using external sensors. Wireless sensors offer more space advantages than a wired one, so this study developed a measurement system that features a three-axis MEMS accelerometer, temperature sensing and wireless modules that are integrated into a planetary gearbox. Along with the system, a virtual instrument (VI) utilizing graphics programming language LabVIEW was developed to acquire and display data time and frequency domains to detect the gear’s faults. To determine the root cause of vibrations in a planetary gearbox, determine the vibration signal model of amplitude modulation (AM) and frequency modulation (FM) due to gear damage and derive the characteristic frequencies of vibrations for a planetary gearbox, the characteristic frequencies and AMFM modulation were summarized in closed form. Different degrees of each gear damage were then detected in the planetary gearbox. The vibration signal model was validated by experiments to indicate the sideband around the gear meshing frequency and its feasibility for fault diagnosis of a planetary gearbox with the wireless embedded sensor.
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Song, Zequn, Budi Rahmadya, Ran Sun, and Shigeki Takeda. "A Feasibility Study on Monitoring Earthquake-Caused Furniture Vibrations Using Radiofrequency Identification Sensor Tags." Sensors 23, no. 6 (2023): 3279. http://dx.doi.org/10.3390/s23063279.
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This paper presents a feasibility study on monitoring earthquake-caused furniture vibrations using radiofrequency identification (RFID) sensor tags. Finding unstable objects by exploiting the vibrations caused by weaker earthquakes is effective as one of the potential countermeasures for large-scale earthquakes in earthquake-prone areas. For this purpose, a previously proposed ultrahigh-frequency (UHF)-band RFID-based batteryless vibration/physical shock sensing system enabled long-term monitoring. This RFID sensor system introduced standby and active modes for long-term monitoring. This system enabled lower-cost wireless vibration measurements without affecting the vibration of furniture because the RFID-based sensor tags provide lightweight, low-cost, and battery-free operations. This RFID sensor system observed earthquake-cased furniture vibrations in a room on the fourth floor of a building eight stories high at Ibaraki University, Hitachi, Ibaraki, Japan. The observation results revealed that the RFID sensor tags identified the vibrations of furniture caused by earthquakes. The RFID sensor system also observed the vibration duration times of the objects in a room and specified the most unstable reference object. Hence, the proposed vibration sensing system helped achieve safe living in indoor environments.
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Debattisti, Nicola, Simone Cinquemani, and Federico Zanelli. "Automatic Decentralized Vibration Control System Based on Collaborative Stand-Alone Smart Dampers." Applied Sciences 13, no. 6 (2023): 3406. http://dx.doi.org/10.3390/app13063406.
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In many structures, undesired noise and vibrations generated by external sources represent a huge problem in terms of structural damage and comfort. Active vibration absorbers can be used to dynamically suppress vibrations, by increasing the damping of the system. A wireless smart active damper has been developed to perform this task and some automated functionalities have been implemented to perform the identification of the structure on which it is mounted on. The sharing of information between wireless sensors represents one of the most interesting features of this kind of control system. In this work, a procedure to estimate the nondimensional damping and modal amplitude for each wireless sensor location and each vibration mode is studied. Then, the information obtained by each sensor in the identification phase are used to implement a coordinated control strategy, which is based on a modified version of the Efficient Modal Control (EMC). Such control strategy implements the low level Selective Negative Derivative Feedback control law and modulates the control gains of each actuator and controlled mode pair in order to get an effective vibration reduction. The tuning procedure represents the next step of the algorithm, in which the evaluation of the introduced damping and the maximum applicable gains are derived; finally, the proposed solution is validated with experimental results on a simply-supported beam.
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Zhong, Hao. "Designs of Energy Harvester for Wireless Sensor Networks." Highlights in Science, Engineering and Technology 85 (March 13, 2024): 700–709. http://dx.doi.org/10.54097/kstjrt39.
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An essential part of the IoT architecture are wireless sensor networks. There has been extensive study done to identify alternative methods of powering wireless sensor networks because the nodes of wireless sensor networks are mostly power constrained. This study mainly introduces three energy collector solutions that can power wireless sensors. They are an electromagnetic vibration energy harvesting system that powers the light source of the fiber Bragg grating sensor, a solar energy collection system that uses ambient photovoltaic energy, and a wind energy harvester that uses gas elastic vibration to convert wind energy into electrical energy. The solar energy collection system is based on maximum power point tracking, in which the solar panels can provide 3W of power with a high efficiency of up to 96%; the wind energy harvester is composed of a wind generator and a power management unit, capable of operating at wind speeds of 2-9m/s, providing 70mW of power. Besides, the electromagnetic vibration energy harvesting system provides an average power output of approximately 40mW when subjected to acceleration levels greater than 0.05g. These results can serve as solutions for sustainable power output.
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Zulkifli, Muhamamad Zuhairy, Zaihasrah Masron, and Saltanat A. Omarova. "Development of Wireless Piezofilm Sensor for Monitoring Vehicle Suspension System." Teknomekanik 4, no. 2 (2021): 91–96. http://dx.doi.org/10.24036/teknomekanik.v4i2.10572.
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The use of piezoelectric sensors in the data acquisition of vibration signal for monitoring systems on vehicles is a practical way to determine the performance of vehicle suspension systems (VSS). However, the transmission of vibration signal data through piezoelectric sensors still relies on conventional techniques, such as wires, which can cause problems in areas with limited space and pose a safety risk for moving vehicles. This study developed a wireless piezofilm sensor-based data acquisition device to monitor VSS using an Arduino microcontroller as a signal processor and a Bluetooth HC-05 module as a wireless communication link with a control terminal. The data acquisition process is carried out by measuring the electrical signal resulting from the vibration of the piezofilm sensor caused by the dynamic motion of the VSS operation. The signal data acquired from the car's body and lower arm was analyzed using the Fast Fourier Transform (FFT) analytical method for comparison. The results of the analysis show that the vibration increases with the increase of the car speed. It found that the vibration at the lower arm of the car is higher than the body part. It can conclude that the developed wireless piezofilm device is effective and capable of performing VSS monitoring.
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Tronci, Eleonora Maria, Sakie Nagabuko, Hiroyuki Hieda, and Maria Qing Feng. "Long-Range Low-Power Multi-Hop Wireless Sensor Network for Monitoring the Vibration Response of Long-Span Bridges." Sensors 22, no. 10 (2022): 3916. http://dx.doi.org/10.3390/s22103916.
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Recently, vibration-based monitoring technologies have become extremely popular, providing effective tools to assess the health condition and evaluate the structural integrity of civil structures and infrastructures in real-time. In this context, battery-operated wireless sensors allow us to stop using wired sensor networks, providing easy installation processes and low maintenance costs. Nevertheless, wireless transmission of high-rate data such as structural vibration consumes considerable power. Consequently, these wireless networks demand frequent battery replacement, which is problematic for large structures with poor accessibility, such as long-span bridges. This work proposes a low-power multi-hop wireless sensor network suitable for monitoring large-sized civil infrastructures to handle this problem. The proposed network employs low-power wireless devices that act in the sub-GHz band, permitting long-distance data transmission and communication surpassing 1 km. Data collection over vast areas is accomplished via multi-hop communication, in which the sensor data are acquired and re-transmitted by neighboring sensors. The communication and transmission times are synchronized, and time-division communication is executed, which depends on the wireless devices to sleep when the connection is not necessary to consume less power. An experimental field test is performed to evaluate the reliability and accuracy of the designed wireless sensor network to collect and capture the acceleration response of the long-span Manhattan Bridge. Thanks to the high-quality monitoring data collected with the developed low-power wireless sensor network, the natural frequencies and mode shapes were robustly recognized. The monitoring tests also showed the benefits of the presented wireless sensor system concerning the installation and measuring operations.
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Waterbury, Andrew C., and Paul K. Wright. "Vibration energy harvesting to power condition monitoring sensors for industrial and manufacturing equipment." Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 227, no. 6 (2012): 1187–202. http://dx.doi.org/10.1177/0954406212457895.
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To enable self-sustaining long-lasting wireless condition monitoring sensors, a small mechanical vibration energy harvester using electromagnetic transduction was constructed and used to harvest vibrations from large industrial pump motors and machine tool. The prototype harvester was roughly the size of a cube with 2.5 cm long sides. Power ranging from 0.2 to 1.5 mW was harvested from 15 to 30 kW water pump motors. For a machine tool, metal cutting vibrations and rapid jog events were explored as possible harvestable sources of energy. Power ranging from 0.9 to 1.9 mW was harvested during facemilling operations, and it was shown that rapid jog events could be harvested. The power levels harvested from the pump motors and machine tools are sufficient to provide the time-averaged power requirements of commercial wireless sensor nodes, enabling sensor nodes to overcome the finite life of replaceable batteries.
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Zhang, Xihai, Junlong Fang, Fanfeng Meng, and Xiaoli Wei. "A Novel Self-Powered Wireless Sensor Node Based on Energy Harvesting for Mechanical Vibration Monitoring." Mathematical Problems in Engineering 2014 (2014): 1–5. http://dx.doi.org/10.1155/2014/642365.
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Wireless sensor networks (WSNs) have been expected to improve the capability of capturing mechanical vibration dynamic behaviors and evaluating the current health status of equipment. While the expectation for mechanical vibration monitoring using WSNs has been high, one of the key limitations is the limited lifetime of batteries for sensor node. The energy harvesting technologies have been recently proposed. One of them shares the same main idea, that is, energy harvesting from ambient vibration can be converted into electric power. Employing the vibration energy harvesting, a novel self-powered wireless sensor node has been developed to measure mechanical vibration in this paper. The overall architecture of node is proposed. The wireless sensor node is described into four main components: the energy harvesting unit, the microprocessor unit, the radio transceiver unit, and accelerometer. Moreover, the software used to control the operation of wireless node is also suggested. At last, in order to achieve continuous self-powered for nodes, two operation modes including the charging mode and discharging mode are proposed. This design can effectively solve the problem of continuous supply power of sensor node for mechanical vibration monitoring.
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Wang, Jun, Zhuangzhuang Du, Zhitao He, and Jiajia Wang. "Exploring Vibration Transmission Rule of an Artificial Spider Web for Potential Application in Invulnerability of Wireless Sensor Network." Applied Bionics and Biomechanics 2019 (May 19, 2019): 1–18. http://dx.doi.org/10.1155/2019/5125034.
Full textAbstract:
Significant similarities exist between a spider web and wireless sensor network in terms of topology. Combining the unique advantages of the spider web in nature, such as invulnerability and robustness, with communication technology of a wireless sensor network presents high research value and broad development prospects. In this paper, a sort of a spiral artificial spider web based on 3D printing and its associated vibration testing device is proposed, which is used to study the transmission rule of vibration information of the spider web under given excitation conditions. It provides useful inspiration for establishment of an invulnerable communication rule of wireless sensor network. In order to investigate vibration transmission characteristics of the artificial spider web, vibration images are recorded and analyzed by a high-speed photography system, and vibration intensity is characterized by use of peak-to-peak value. Furthermore, vibration performance of the artificial spider web is studied under conditions of integrity and destruction, respectively. Our test observation reveals the vibration transmission rule of the unique structure of the spider web, providing a novel analysis method for improving invulnerability of the wireless sensor network.
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Frizzell, Ronan, Gerard Kelly, Francesco Cottone, et al. "Experimental characterisation of dual-mass vibration energy harvesters employing velocity amplification." Journal of Intelligent Material Systems and Structures 27, no. 20 (2016): 2810–26. http://dx.doi.org/10.1177/1045389x16642030.
Full textAbstract:
Vibration energy harvesting extracts energy from the environment and can mitigate reliance on battery technology in wireless sensor networks. This article presents the nonlinear responses of two multi-mass vibration energy harvesters that employ a velocity amplification effect. This amplification is achieved by momentum transfer from larger to smaller masses following impact between masses. Two systems are presented that show the evolution of multi-mass vibration energy harvester designs: (1) a simplified prototype that effectively demonstrates the basic principles of the approach and (2) an enhanced design that achieves higher power densities and a wider frequency response. Various configurations are investigated to better understand the nonlinear dynamics and how best to realise future velocity-amplified vibration energy harvesters. The frequency responses of the multi-mass harvesters show that these devices have the potential to reduce risks associated with deploying vibration energy harvester devices in wireless sensor network applications; the wide frequency response reduces the need to re-tune the harvesters following frequency variations of the source vibrations.
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Zhou, Guang-Dong, Ting-Hua Yi, and Hong-Nan Li. "Wireless Sensor Placement for Bridge Health Monitoring Using a Generalized Genetic Algorithm." International Journal of Structural Stability and Dynamics 14, no. 05 (2014): 1440011. http://dx.doi.org/10.1142/s0219455414400112.
Full textAbstract:
The optimal placement of wireless sensors is very different from conventional wired sensor placement due to the limited transmission range of the wireless sensors. This constraint on the inter-sensor distance makes the optimization problem difficult to solve with conventional gradient-based methods. In this paper, an improved generalized genetic algorithm (GGA) based on a self-adaptive dynamic penalty function (SADPF) is proposed for the optimal wireless sensor placement (OWSP) in bridge vibration monitoring. The mathematical model of the OWSP problem is established, and it considers both the bridge vibration monitoring requirements and the constraints of the data transmission range in wireless sensor networks (WSNs). SADPF, which can automatically adjust the amount of penalization for constraint violations according to the evolution generation number and the degree of violation, is then developed so that the wireless sensor placement can be optimized using GGA. Subsequently, the GGA is improved by implementing an elite conservation strategy, a worst elimination policy and a dual-structure coding system. Finally, a numerical experiment is presented with a long-span suspension bridge to demonstrate the feasibility and efficiency of the proposed method, and some indispensible discussions are also given. The results indicate that the wireless sensor configurations that are optimized by the improved SADPF-based GGA can simultaneously meet the data transmission demands in a WSN and fulfill the requirements for structural condition assessment. The developed SADPF can minimize the influence of the limited data transmission range on the search process for the OWSP. The improved SADPF-based GGA quickly and robustly converges to the global optimal solution.
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Zhou, Kai, Fang Xie, and Yi Tao. "Piezoelectric Energy Harvester for Wireless Sensors." Key Engineering Materials 546 (March 2013): 147–49. http://dx.doi.org/10.4028/www.scientific.net/kem.546.147.
Full textAbstract:
For the advantage that working without the need for battery replacement and maintenance, the wireless sensor which harvests energy from ambient sources to power itself attracts numerous researches and becomes a focus in sensors. Piezoelectric vibration energy harvesting has the widespread and stable source, higher efficiency and convenient electromechanical coupling. Therefore it becomes prominent in powering wireless sensors. The piezoelectric energy harvester which is used to power wireless sensors is systematically studied in this thesis.
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Chen, Lei, Lijun Wei, Yu Wang, Junshuo Wang, and Wenlong Li. "Monitoring and Predictive Maintenance of Centrifugal Pumps Based on Smart Sensors." Sensors 22, no. 6 (2022): 2106. http://dx.doi.org/10.3390/s22062106.
Full textAbstract:
Centrifugal pumps have a wide range of applications in industrial and municipal water affairs. During the use of centrifugal pumps, failures such as bearing wear, blade damage, impeller imbalance, shaft misalignment, cavitation, water hammer, etc., often occur. It is of great importance to use smart sensors and digital Internet of Things (IoT) systems to monitor the real-time operating status of pumps and predict potential failures for achieving predictive maintenance of pumps and improving the intelligence level of machine health management. Firstly, the common fault forms of centrifugal pumps and the characteristics of vibration signals when a fault occurs are introduced. Secondly, the centrifugal pump monitoring IoT system is designed. The system is mainly composed of wireless sensors, wired sensors, data collectors, and cloud servers. Then, the microelectromechanical system (MEMS) chip is used to design a wireless vibration temperature integrated sensor, a wired vibration temperature integrated sensor, and a data collector to monitor the running state of the pump. The designed wireless sensor communicates with the server through Narrow Band Internet of Things (NB-IoT). The output of the wired sensor is connected to the data collector, and the designed collector can communicate with the server through 4G communication. Through cloud-side collaboration, real-time monitoring of the running status of centrifugal pumps and intelligent diagnosis of centrifugal pump faults are realized. Finally, on-site testing and application verification of the system was conducted. The test results show that the designed sensors and sensor application system can make good use of the centrifugal pump failure mechanism to automatically diagnose equipment failures. Moreover, the diagnostic accuracy rate is above 85% by using the method of wired sensor and collector. As a low-cost and easy-to-implement solution, wireless sensors can also monitor gradual failures well. The research on the sensors and pump monitoring system provides feasible methods and an effective means for the application of centrifugal pump health management and predictive maintenance.
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Dai, Xuan, Lili Fang, Chuanfang Zhang, and Houjun Sun. "An Impedance-Loaded Orthogonal Frequency-Coded SAW Sensor for Passive Wireless Sensor Networks." Sensors 20, no. 7 (2020): 1876. http://dx.doi.org/10.3390/s20071876.
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A passive wireless impedance-loaded orthogonal frequency-coded (OFC) surface acoustic wave (SAW) sensor for wireless sensor networks was proposed in this paper. One of the chips on OFC SAW tag is connected to an external sensor, which could cause a phase shift in the time response of the corresponding part on the SAW device. The phase shift corresponds to the sensed quantity, which could be temperature, strain, vibration, pressure, etc. The OFC SAW tag is isolated by a proper package from the direct effect of the measurand on the device’s response which could avoid the multiple measurands coupling. The simultaneous work of multiple sensors is guaranteed by orthogonal frequency coding. By processing the response based on an extended matched filter algorithm, sensing information of the specific coded OFC device can be extracted from the superimposed response of multiple independent encoded sensors. Compared to previous methods, the proposed method can produce a more flexible passive (battery-free) wireless sensor suitable for large-scale wireless sensor networks. Simulation and experimental results demonstrate the effectiveness of the sensor.
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Jia, Yu, Jize Yan, Sijun Du, et al. "Real world assessment of an auto-parametric electromagnetic vibration energy harvester." Journal of Intelligent Material Systems and Structures 29, no. 7 (2017): 1481–99. http://dx.doi.org/10.1177/1045389x17740964.
Full textAbstract:
The convention within the field of vibration energy harvesting has revolved around designing resonators with natural frequencies that match single fixed frequency sinusoidal input. However, real world vibrations can be random, multi-frequency, broadband and time-varying in nature. Building upon previous work on auto-parametric resonance, this fundamentally different resonant approach can harness vibration from multiple axes and has the potential to achieve higher power density as well as wider frequency bandwidth. This article presents the power response of a packaged auto-parametric VEH prototype (practical operational volume of ∼126 cm−3) towards various real world vibration sources including vibration of a bridge, a compressor motor as well as an automobile. At auto-parametric resonance (driven at 23.5 Hz and 1 g rms), the prototype can output a peak of 78.9 mW and 4.5 Hz of −3dB bandwidth. Furthermore, up to ∼1 mW of average power output was observed from the harvester on the Forth Road Bridge. The harvested electrical energy from various real world sources were used to power up a power conditioning circuit, a wireless sensor mote, a micro-electromechanical system accelerometer and other low-power sensors. This demonstrates the concept of self-sustaining vibration powered wireless sensor systems in real world scenarios, to potentially realise maintenance-free autonomous structural health and condition monitoring.
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Wang, Yuqiao. "Wireless Sensor Networks Overview." Academic Journal of Science and Technology 6, no. 2 (2023): 18–19. http://dx.doi.org/10.54097/ajst.v6i2.9437.
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Wireless sensor networks have become widely used for their high accuracy, safety, and reliability, particularly in military applications where information is critical to victory. Chinese scholars have conducted research on wireless sensor technology, with the aim of reducing costs, meeting low power requirements, and adapting to environmental changes to enhance China's military strength. However, data transmission speeds are slower and signal strength weaker compared to wired networks due to physical and technical limitations, which may result in slower or even interrupted data and file transfer speeds. Despite these limitations, wireless sensor networks have played a critical role in China's reconnaissance system for collecting and processing information in the battlefield environment. The technical principles of wireless sensor networks involve a distributed sensing system with multiple nodes consisting of data collection, big data processing, information processing, and energy supply modules. The identification and tracking of battlefield targets rely on passive observation of objects in activity using acoustic vibration sensors. The development of wireless sensor networks is still ongoing, with problems including limited computing power, storage capacity, communication ability, and energy supply of sensor nodes, as well as the potential for information leakage during the transmission process.
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Subramanian, Chelakara, Gabriel Lapilli, Frederic Krate, JeanPaul Pinelli, and Ivica Kostanic. "MULTI-SENSOR WIRELESS NETWORK SYSTEM FOR HURRICANE MONITORING." SOFT MEASUREMENTS AND COMPUTING 1, no. 11 (2021): 5–43. http://dx.doi.org/10.36871/2618-9976.2021.11.001.
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A wireless sensor system is described. Pressure sensor measurements are compared with National Weather Service data and wind tunnel test data. It then describes a minivan highway test that was used to evaluate the effect of sensor housing shape on pressure measurements. Computational Fluid Dynamics (CFD) analysis was also performed to complement the wind tunnel and road van tests, as well as to determine optimal mesh shapes and sizes, boundary conditions, and the best turbulence model that would reproduce the measured pressures. (UV) The following describes the Hurricane Simulator tests that were used to evaluate the effect of wind gusts on pressure and automatic/cross-correlations of pressure and velocity between different sensors. A CFD simulation of the UF Hurricane Simulator test was also performed to evaluate the sensitivity of turbulence models in capturing true pressure and velocity changes on the test site due to gusts. Vibration testing using a shaker table to analyze the effect of structural vibration on sensor pressure measurements is described.
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Mouapi, Alex, Nadir Hakem, and Nahi Kandil. "Cantilevered Piezoelectric Micro Generator Design Issues and Application to the Mining Locomotive." Energies 13, no. 1 (2019): 63. http://dx.doi.org/10.3390/en13010063.
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This paper will present a complete discussion in recent design strategies for harvesting vibration energy using piezoelectric cantilever transducers. The interest in this primary energy source is due to its presence in non-negligible quantities in most of the engines used in the industrial process. Previous work has shown that it is possible to harvest significant amounts of energy capable of supplying a wireless sensor (WS) node. However, in most research, only one step of the energy conversion and utilization chain is studied. Starting from the definition of the different design issues for a piezoelectric micro generator (PMG), the leading optimization solutions will be reviewed in this paper. Based on the findings, the quantification of the data transmission range of wireless sensor nodes powered by a PMG is proposed to support the objectives envisioned by Industry 4.0. The vibration characteristics taken from mining locomotives that have not yet been treated previously are used to illustrate the improvement of the various optimization solutions. Through our objectives, this work offers a comprehensive discussion on the use of vibrational energy by wireless sensors, bringing together the fields of mechanics, electrical, electronics, and wireless communications. The theoretical basis for each design stage is provided through the design equations. Based on actual measurements of ambient vibration, it is demonstrated, considering an optimal design of the PMG, that a WS could transmit data beyond 1 km for physical phenomena to be controlled every 7 min.
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Anoop, P* Halesh PM* Mrs. Swathi. "SURVEY ON BRIDGE AND FLYOVER CONDITION MONITORING SYSTEM." INTERNATIONAL JOURNAL OF RESEARCH SCIENCE & MANAGEMENT 4, no. 5 (2017): 152–54. https://doi.org/10.5281/zenodo.581252.
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Health monitoring of bridges is one of the important challenges in cities. Monitoring the damages in the bridge is an increasing concern for the benefit of public as there is a threat to people’s life and property. Instalment of wireless sensor network is one of the possible solutions to structural health monitoring. The ZigBee convention is utilized for observing the scaffolds harms and can screen different parameters, for example, temperature, weight, vibrations, stress and dampness. Stack cell, flex sensors and vibration sensors can be utilized to screen the condition. The heap cell is utilized to discover the limit of scaffold. The flex and vibration sensor is utilized to recognize the inward and outer harms .If harm is distinguished by means of ZigBee correspondence the harm location is educated to the Base Station. They locate an extensive variety of uses in natural checking, modern observing, and auxiliary checking
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Sheng, Zhong Qi, Liang Dong, and Chang Ping Tang. "Research on Monitoring of Machine Tools Based on Wireless Sensor Network." Advanced Materials Research 230-232 (May 2011): 616–19. http://dx.doi.org/10.4028/www.scientific.net/amr.230-232.616.
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This paper discusses the structure of wireless sensor network (WSN) and the key technologies for the monitoring of machine tools. Multi-sensor is used to monitor the acoustic emission and vibration signal during the manufacturing process of machine tools. Vibration signals and acoustic characteristics are extracted by using wavelet analysis. Based on the fusion of BP artificial neural networks and multi-sensor information, the monitoring of machine tool is carried out in the environment of wireless sensor network.
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Ji, Xinyang, Gaoshan Hu, and Bin Meng. "Research on Communication and Monitoring of Construction Machinery under the Framework of Wireless Sensor Network." Highlights in Science, Engineering and Technology 1 (June 14, 2022): 281–86. http://dx.doi.org/10.54097/hset.v1i.475.
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Aiming at the problem that the current wireless sensor network performance is low and cannot meet the requirements of high-precision synchronous acquisition of mechanical vibration signals, this paper proposes a synchronous acquisition method (SACD) based on cross-layer design. Based on this monitoring mode, an experimental platform is constructed to conduct a vibration signal measurement experiment, and compared with the wired vibration signal test and analysis method. The results show that the vibration monitoring mode based on the wireless sensor network can meet the basic requirements of mechanical vibration monitoring applications.
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Li, Hongjuan, Gening Xu, and Gelin Xu. "Mechanical Vibration Monitoring System Based on Wireless Sensor Network." International Journal of Online Engineering (iJOE) 14, no. 06 (2018): 126. http://dx.doi.org/10.3991/ijoe.v14i06.8703.
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<p class="0abstract"><span lang="EN-US">In order to solve the problem of mechanical vibration monitoring, a mechanical vibration monitoring system based on wireless sensor network was designed.</span><span lang="EN-US">First, the requirements of the hardware of the wireless rotating mechanical vibration monitoring system were analyzed. The monitoring node and base station node were designed.</span><span lang="EN-US">Then, based on the VisualBasic6.0 development tool, a software for monitoring the vibration of rotating machinery was designed. It had the functions of command control, data waveform display, and network topology display.</span><span lang="EN-US">In the mode of wireless mechanical vibration monitoring, the organization mode of the network, the transmission mode of data and the corresponding packet transmission format were improved.</span><span lang="EN-US">Finally, the reliable transmission of the data was verified. Compared with the traditional cable vibration sensor, the performance of the monitoring system was verified.</span><span lang="EN-US">The results showed that the wireless vibration monitoring system designed in this paper met the requirements for the monitoring of the vibration state of the rotating machinery.</span></p>
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Rigo, Francesco, Marco Migliorini, and Alessandro Pozzebon. "Piezoelectric Sensors as Energy Harvesters for Ultra Low-Power IoT Applications." Sensors 24, no. 8 (2024): 2587. http://dx.doi.org/10.3390/s24082587.
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The aim of this paper is to discuss the usability of vibrations as energy sources, for the implementation of energy self-sufficient wireless sensing platforms within the Industrial Internet of Things (IIoT) framework. In this context, this paper proposes to equip vibrating assets like machinery with piezoelectric sensors, used to set up energy self-sufficient sensing platforms for hard-to-reach positions. Preliminary measurements as well as extended laboratory tests are proposed to understand the behavior of commercial piezoelectric sensors when employed as energy harvesters. First, a general architecture for a vibration-powered LoRaWAN-based sensor node is proposed. Final tests are then performed to identify an ideal trade-off between sensor sampling rates and energy availability. The target is to ensure continuous operation of the device while guaranteeing a charging trend of the storage component connected to the system. In this context, an Ultra-Low-Power Energy-Harvesting Integrated Circuit plays a crucial role by ensuring the correct regulation of the output with very high efficiency.
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Fikri, Muhamad Rausyan, Kushendarsyah Saptaji, and Fijai Naja Azmi. "Wireless Vibration Monitoring System for Milling Process." Journal of ICT Research and Applications 16, no. 1 (2022): 38–55. http://dx.doi.org/10.5614/itbj.ict.res.appl.2022.16.1.3.
Full textAbstract:
The implementation of industrial revolution 4.0 in manufacturing industries is necessary to adapt to the rapid changes of technologies. The milling process is one of the common manufacturing processes applied in the industries to produce engineering products. The vibration that occurs in the milling process can disturb the continuity of the process. The wired vibration monitoring system implemented in the manufacturing process needs to be replaced with the wireless monitoring system. Hence wireless vibration monitoring system is developed to solve the problem with wired monitoring systems where tucked cable and high cost are the main challenges of the wired monitoring system. The wireless monitoring system setup is built using three components: sensor node, monitoring node, and base station. Milling experiments with various depths of cut, feed rate, and spindle speed were conducted to examine the performance of the wireless monitoring system. The results indicate the wireless system shows similar data recorded by the wired system. The wireless vibration monitoring system can identify the effect of milling parameters such as depth of cut, feed rate, and spindle speed on the vibrations level. The effect of cut depth is more significant than spindle speed and feed rate in the defined parameters.
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Szappanos, Miklós, János Radó, Gábor Battistig, Péter Földesy, and János Volk. "Energy Harvesting Powered Wireless Vibration Analyser." Proceedings 2, no. 13 (2018): 884. http://dx.doi.org/10.3390/proceedings2130884.
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In this work we present a complex, wireless, ambient energy powered and easy-to-use solution for vibration analysis. It is designed to incorporate the latest commercial technologies and achievements in the field of energy harvesting and wireless sensor networks with an emphasis on energy efficient spectrum estimation algorithms for embedded systems. This solution is realized on a small printed circuit board and contains all the necessary circuit components for hybrid energy harvesting; acceleration sensing; data acquisition, storing and analysis; and wireless communication. The on-board microcontroller was programmed to choose the most energy-efficient data handling algorithm (direct transfer or embedded analysis) based on the weighed combination of user settings and ambient energy. We tested and calibrated our system in laboratory environment with reference sensors, as well as in an engine room, simulating practical applications.
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Panayanthatta, Namanu, Giacomo Clementi, Merieme Ouhabaz, et al. "A Self-Powered and Battery-Free Vibrational Energy to Time Converter for Wireless Vibration Monitoring." Sensors 21, no. 22 (2021): 7503. http://dx.doi.org/10.3390/s21227503.
Full textAbstract:
Wireless sensor nodes (WSNs) are the fundamental part of an Internet of Things (IoT) system for detecting and transmitting data to a master node for processing. Several research studies reveal that one of the disadvantages of conventional, battery-powered WSNs, however, is that they typically require periodic maintenance. This paper aims to contribute to existing research studies on this issue by exploring a new energy-autonomous and battery-free WSN concept for monitor vibrations. The node is self-powered from the conversion of ambient mechanical vibration energy into electrical energy through a piezoelectric transducer implemented with lead-free lithium niobate piezoelectric material to also explore solutions that go towards a greener and more sustainable IoT. Instead of implementing any particular sensors, the vibration measurement system exploits the proportionality between the mechanical power generated by a piezoelectric transducer and the time taken to store it as electrical energy in a capacitor. This helps reduce the component count with respect to conventional WSNs, as well as energy consumption and production costs, while optimizing the overall node size and weight. The readout is therefore a function of the time it takes for the energy storage capacitor to charge between two constant voltage levels. The result of this work is a system that includes a specially designed lead-free piezoelectric vibrational transducer and a battery-less sensor platform with Bluetooth low energy (BLE) connectivity. The system can harvest energy in the acceleration range [0.5 g–1.2 g] and measure vibrations with a limit of detection (LoD) of 0.6 g.
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Zhou, Daiyong, Yin Lin, Gaojian Ren, and Yan Shao. "Wind-induced vibration piezoelectric energy collection in ventilation tunnels." E3S Web of Conferences 267 (2021): 01039. http://dx.doi.org/10.1051/e3sconf/202126701039.
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Ventilation tunnel wind-induced vibration piezoelectric energy collection MFC as vibration energy in the ventilation tunnel and stores it in the energy storage device to provide the electrical energy required by the wireless sensor in the tunnel. According to the piezoelectric effect of piezoelectric materials, the instantaneous accumulated positive and negative charges generated at both ends of the piezoelectric vibrator at the instantaneous wind speed and wind vibration in the tunnel are collected. By establishing a piezoelectric energy collection model, the irregular transient charges are captured and stored as Available direct current. The piezoelectric energy harvesting model uses wind speed rotation as the traction force to drive the piezoelectric vibrator to vibrate, thereby converting wind energy into instantaneous electrical energy, and using the electrical energy harvesting device to store the electrical energy in the energy storage device. Experiments verify that when the wind-induced vibration piezoelectric energy collection model of the ventilation tunnel is at a wind speed of 8m/s, the maximum output voltage of the energy storage device is 42.2V, which can meet the power supply requirements of wireless sensors in the ventilation tunnel.
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Wang, Hua, Jinshan Wang, Wenqiang Tian, Zhiqiang Bao, Bao Wang, and Yanxu Gou. "Application of Mobile Vibration Online Comparison Sensor in Wind Power Field." E3S Web of Conferences 375 (2023): 02005. http://dx.doi.org/10.1051/e3sconf/202337502005.
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MEMS sensor is a new type of sensor manufactured by micro electronics and micro machining technology. Compared with traditional sensors, it has the characteristics of small size, light weight, low cost, low power consumption, high reliability, suitable for batch production, easy integration and intelligent realization. This project adopts a multi in one sensor based on MEMS principle. The sensor is a wireless passive three-axis sensor that integrates acceleration, speed, displacement, temperature, inclination and other parameters. It is very convenient to install and disassemble, and can realize the cycle monitoring of the whole wind field.
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Zhou, Daocheng, Yan Yu, Jie Wang, and Zhirui Li. "Design and validation of a fast wireless low-frequency vibration inspection system for offshore platform structures." Journal of Low Frequency Noise, Vibration and Active Control 39, no. 3 (2019): 720–28. http://dx.doi.org/10.1177/1461348419841252.
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Structural health monitoring has become increasingly important in the effective evaluation of structural health conditions and the maintenance service of structures. The validity and convenience of obtaining sensor data are critical for data mining, feature extraction, and condition assessment. A fast wireless low-frequency vibration inspection system (FWLVIS) based on wireless sensor networks for offshore platform structural vibration inspection is presented in this paper. The designed system consists of intelligent acquisition equipment and eight wireless nodes with low-frequency acceleration sensors, while the entire system has 64 collection channels. The wireless nodes integrated with a vibration sensing unit, an embedded low-power micro-processing unit, a wireless transceiver unit, and a large-capacity power unit perform functions, which could perform data collection, initial analysis, data storage, and wireless transmission. The intelligent acquisition equipment integrated with a high-performance computation unit, a wireless transceiver unit, a mobile power source, and the embedded data analysis software could completely control the multi-wireless nodes, receive and analyze the data, and implement the parameter identification. Experiments are performed on a single pendulum, and then on an offshore platform model is constructed to verify the FWLVIS. The experimental results show that the system has the following characteristics: fast arrangement, high sampling rate, high resolution, and capacity for low-frequency inspection. Thus, the system has good application prospects and practical value in the field of structural health monitoring and non-destructive inspection.
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Susanto, Misfa, Ahmad Wahyu Widodo, and FX Arinto Setyawan. "Landslide Monitoring and Warning System Based on Wireless Sensor Network." ELKHA 16, no. 2 (2024): 116. http://dx.doi.org/10.26418/elkha.v16i2.83489.
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Landslides are common in Indonesia, often caused by factors like heavy rainfall and high soil moisture levels. The Batubrak mini hydro power plant intake area in Lampung province of Indonesia has experienced landslides, prompting the need for an early warning system. This study presents the development of a cost-effective and efficient real-time landslide monitoring and warning system. The system incorporates sensors to measure accelerometer and vibration parameters, enabling real-time data display through a wireless sensor network and SCADA software. Early warnings are issued when triggers are activated. Three sensor nodes were deployed in the intake area for testing, demonstrating their ability to detect, collect, process, and transmit accelerometer and vibration data to the gateway node.
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Suherman, Suherman, Fahmi Fahmi, Ulfa Hasnita, and Zul Herri. "Design and characteristics assessment of wireless vibration sensor for buildings and houses." Indonesian Journal of Electrical Engineering and Computer Science 21, no. 3 (2021): 1381–88. https://doi.org/10.11591/ijeecs.v21.i3.pp1381-1388.
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This paper reports the wireless vibration detector design and characterization for practical applications. System is built by using the ATmega microcontrollers, working on a free license 433 MHz frequency. Hardware characteristics are defined through experimental assessments. Assessment mainly on sensor output and sensor installation characteristics. As results, hardware is working as expected, where vibration level achieves at most 13% detection for 12 g vibration source. The vertical axis of the MPU6050 vibration detector results 87.5 times higher detection than in horizontal axis. Detected vibration increases from 1.03 g to 2.61 g when source-sensor distance is shortened from 10 cm to 2 cm. The aluminium sheet as sensor pad causes detection of 8.69 times higher than on ceramic pad. The lower the detection period the better the detection amplitude. However, the lower the period, the higher the consumed power. Microcontroller sleep mode is not suitable for short period detection. The node-based data validation to avoid transmitting false detection is not influencial for short period detection.
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Haroun, Ahmed, Mohamed Tarek, Mohamed Mosleh, and Farouk Ismail. "Recent Progress on Triboelectric Nanogenerators for Vibration Energy Harvesting and Vibration Sensing." Nanomaterials 12, no. 17 (2022): 2960. http://dx.doi.org/10.3390/nano12172960.
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The triboelectric nanogenerator (TENG) is a recent technology that reforms kinetic energy generation and motion sensing. A TENG comes with variety of structures and mechanisms that make it suitable for wide range of applications and working conditions. Since mechanical vibrations are abundant source of energy in the surrounding environment, the development of a TENG for vibration energy harvesting and vibration measurements has attracted a huge attention and great research interest through the past two decades. Due to the high output voltage and high-power density of a TENG, it can be used as a sustainable power supply for small electronics, smart devices, and wireless sensors. In addition, it can work as a vibration sensor with high sensitivity. This article reviews the recent progress in the development of a TENG for vibration energy harvesting and vibration measurements. Systems of only a TENG or a hybrid TENG with other transduction technologies, such as piezoelectric and electromagnetic, can be utilized for vibrations scavenging. Vibration measurement can be done by measuring either vibration displacement or vibration acceleration. Each can provide full information about the vibration amplitude and frequency. Some TENG vibration-sensing architectures may also be used for energy harvesting due to their large output power. Numerous applications can rely on TENG vibration sensors such as machine condition monitoring, structure health monitoring, and the Internet of things (IoT).
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Wu, Hua Yong, Daniele Zonta, Matteo Pozzi, Paolo Zanon, and Michele Corrà. "Historic Buildings: Long Term Stability Evaluation Using Wireless Sensor Networks." Advanced Materials Research 133-134 (October 2010): 235–40. http://dx.doi.org/10.4028/www.scientific.net/amr.133-134.235.
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An automatic diagnostic monitoring system can guarantee the safety and integrity of a historic building. In this paper, we describe the long term application of a wireless sensor network (WSN) for permanent health monitoring in the Torre Aquila, a historic tower in Trento, Italy. The system consists of accelerometers, thermometers and fiber optic sensors (FOS) with customized wireless modules and dedicated software designed for wireless communication. The whole system was completed and started operation in September 2008, and data from the various sensor nodes are collected continuously, save during periods of system maintenance and update. Based on the first 1.5 years of operation in assessing the stability of the tower, the WSN is seen to be an effective tool. Modal analysis indicates that the tower has two independent structural parts. A comparison between the acquired long term deformation measurements and simulated numerical results shows good agreement. Monitoring of ambient vibration suggests that such vibration is not now a source of concern for the stability of the tower.