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Journal articles on the topic 'Machinery vibration monitoring'

Author: Grafiati

Published: 4 June 2021

Last updated: 2 February 2022

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1

Mohd Ghazali, Mohamad Hazwan, and Wan Rahiman. "Vibration Analysis for Machine Monitoring and Diagnosis: A Systematic Review." Shock and Vibration 2021 (September 10, 2021): 1–25. http://dx.doi.org/10.1155/2021/9469318.

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Untimely machinery breakdown will incur significant losses, especially to the manufacturing company as it affects the production rates. During operation, machines generate vibrations and there are unwanted vibrations that will disrupt the machine system, which results in faults such as imbalance, wear, and misalignment. Thus, vibration analysis has become an effective method to monitor the health and performance of the machine. The vibration signatures of the machines contain important information regarding the machine condition such as the source of failure and its severity. Operators are als

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Grega, Robert, Jaroslav Homišin, Silvia Medvecká-Beňová, and Jozef Krajňák. "Experimental Identification of Failures of High-Pressure Pump Drive." Applied Mechanics and Materials 816 (November 2015): 421–25. http://dx.doi.org/10.4028/www.scientific.net/amm.816.421.

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In practice, the mobile machines, machinery and their parts are sources of vibrations which could shorten their technical working life. In every machine, a specific energy is converted into vibrations of the machinery or their individual components. The information about machinery is fundamental condition of its future running. The methods of vibration diagnostic could be useful for monitoring of device wear and determining of real state of machines.

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Muszynska, Agnes. "Vibrational Diagnostics of Rotating Machinery Malfunctions." International Journal of Rotating Machinery 1, no. 3-4 (1995): 237–66. http://dx.doi.org/10.1155/s1023621x95000108.

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This paper outlines rotating machinery malfunction diagnostics using vibration data in correlation with operational process data. The advantages of vibration monitoring systems as a part of preventive/predictive maintenance programs are emphasized. After presenting basic principles of machinery diagnostics, several specific malfunction symptoms supported by simple mathematical models are given. These malfunctions include unbalance, excessive radial load, rotor-to-stator rubbing, fluid-induced vibrations, loose stationary and rotating parts, coupled torsional/lateral vibration excitation, and r

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4

Mohanty, Lipi, Yaowen Yang, and Swee Tjin. "Passively Conducted Vibration Sensing with Fiber Bragg Gratings." Applied Sciences 8, no. 9 (2018): 1599. http://dx.doi.org/10.3390/app8091599.

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Measuring vibrations is a common method of monitoring the integrity of structures and heavy machinery, that are subject to dynamic loads. Strong vibrations for prolonged periods of time can be caused by various sources, such as trains, motors and heavy machinery. These strong vibrations should be identified and managed to ensure operational safety. This study proposes a flexible metal beam sensor with a fiber Bragg grating (FBG) mounted on the surface to measure the vibrational frequency. We present a sensor for measuring the vibrational frequencies on-site by placing the beam so that it makes

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Xu, Shaoyi, Fangfang Xing, Ruilin Wang, Wei Li, Yuqiao Wang, and Xianghui Wang. "Vibration sensor for the health monitoring of the large rotating machinery: review and outlook." Sensor Review 38, no. 1 (2018): 44–64. http://dx.doi.org/10.1108/sr-03-2017-0049.

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Purpose At present, one of the key equipment in pillar industries is a large rotating machinery. Conducting regular health monitoring is important for ensuring safe operation of the large rotating machinery. Because vibrations sensors play an important role in the workings of the rotating machinery, measuring its vibration signal is an important task in health monitoring. This paper aims to present these. Design/methodology/approach In this work, the contact vibration sensor and the non-contact vibration sensor have been discussed. These sensors consist of two types: the electric vibration sen

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Senapaty, Goutam, and U. Sathish Rao. "Vibration based condition monitoring of rotating machinery." MATEC Web of Conferences 144 (2018): 01021. http://dx.doi.org/10.1051/matecconf/201814401021.

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This project looks at the different maintenance philosophies and the importance of vibration analysis in predictive maintenance. Since most industries and plants make use of rotational equipment, vibration analysis plays a major role in detecting machine defects and developing flaws before the equipment fails and potentially damages other related equipment and to avoid unwanted breakdowns and downtime. Vibration analysis can help increase the lifetime of equipment when the faults are diagnosed at the right time. Vibration analysis of a rotating table top model is also done to show that some fa

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Senapaty, Goutam, and U. Sathish Rao. "Vibration based condition monitoring of rotating machinery." MATEC Web of Conferences 144 (2018): 01021. http://dx.doi.org/10.1051/matecconf/201714401021.

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8

EI-Shafel, A. "Measuring Vibration for Machinery Monitoring and Diagnostics." Shock and Vibration Digest 25, no. 1 (1993): 3–14. http://dx.doi.org/10.1177/058310249302500103.

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9

Hu, Lei, Niao-qing Hu, Bin Fan, Feng-shou Gu, and Xiang-yi Zhang. "Modeling the Relationship between Vibration Features and Condition Parameters Using Relevance Vector Machines for Health Monitoring of Rolling Element Bearings under Varying Operation Conditions." Mathematical Problems in Engineering 2015 (2015): 1–10. http://dx.doi.org/10.1155/2015/123730.

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Rotational speed and load usually change when rotating machinery works. Both this kind of changing operational conditions and machine fault could make the mechanical vibration characteristics change. Therefore, effective health monitoring method for rotating machinery must be able to adjust during the change of operational conditions. This paper presents an adaptive threshold model for the health monitoring of bearings under changing operational conditions. Relevance vector machines (RVMs) are used for regression of the relationships between the adaptive parameters of the threshold model and t

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Ciupitu, Liviu, Andrei Tudor, Doru Turcan, and Daniel Sandor. "Vibration Diagnosis of Electric Motor’s Bearings." Advanced Materials Research 463-464 (February 2012): 1725–28. http://dx.doi.org/10.4028/www.scientific.net/amr.463-464.1725.

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Recently technologies like vibration monitoring or acoustic measurement help the maintenance to improve the OEE (overall equipment effectiveness) factor. For example SKF company uses for fault detection vibration and temperature sensors and vibration signal processing techniques that differentiate between normal machinery process vibrations and abnormal vibrations caused by machinery faults. The fault can be eliminated or monitored until maintenance and repairs can be organized in a cost-effective way. The type of pattern with frosted or fluted features on the bearing inner or outer race it's

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11

Ou, Chao-Hui, Cheung-Hwa Hsu, Gui-Jie Fan, and Wei-Yu Chen. "Rotary machine vibration monitoring and smart balance correction." Advances in Mechanical Engineering 12, no. 6 (2020): 168781402093603. http://dx.doi.org/10.1177/1687814020936032.

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During the rotary machine operation process, seemingly small amounts of abnormal vibration can often cause serious damage to the machinery over time and even increase the risk of accidents. Although professional vibration engineers can determine the current health status of a machine by interpreting the vibration spectrum information and predicting which components will fail, if even ordinary operators can send feedback regarding the vibration signals reaching the human–machine interface through a system when an abnormality is detected in the machine, the abnormality can be made known and proc

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Dogrusoz, Halit, Grzegorz Wszołek, Piotr Czop, and Jakub Słoniewski. "Vibration monitoring of CNC machinery using MEMS sensors." Journal of Vibroengineering 22, no. 3 (2020): 735–50. http://dx.doi.org/10.21595/jve.2019.20788.

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13

Craighead, I. A. "A Vibration Monitoring/Fault Diagnosis Simulation Package." International Journal of Mechanical Engineering Education 23, no. 2 (1995): 103–11. http://dx.doi.org/10.1177/030641909502300204.

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The subject of condition monitoring is becoming increasingly popular on engineering courses. One of the principal techniques used to assess the condition of plant and machinery is vibration monitoring. Traditional teaching methods can adequately present the analytical techniques to students and case studies illustrate their application but the art of diagnosing faults in machinery is usually not addressed to any significant extent. To overcome this deficiency a ‘game’ has been devised which gives students the opportunity to apply aspects of vibration monitoring to a simulated piece of real pla

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Laws, W. C., and A. Muszynska. "Periodic and Continuous Vibration Monitoring for Preventive/Predictive Maintenance of Rotating Machinery." Journal of Engineering for Gas Turbines and Power 109, no. 2 (1987): 159–67. http://dx.doi.org/10.1115/1.3240019.

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The application of vibration monitoring as part of Preventive/Predictive Maintenance programs is discussed. Several alternative methods, including periodic and continuous monitoring techniques, are described. Emphasis is given to the importance of selecting vibration transducers with due regard for the specific machinery type. The equally important need to install monitoring systems which are cost effective and provide genuinely useful information for maintenance engineers and vibration analysts is also highlighted. It is argued that critical machinery should be monitored continuously, and in

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15

Hui, K. H., L. M. Hee, M. Salman Leong, and Ahmed M. Abdelrhman. "Vibration Condition Monitoring: Latest Trend and Review." Applied Mechanics and Materials 773-774 (July 2015): 139–43. http://dx.doi.org/10.4028/www.scientific.net/amm.773-774.139.

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Vibration analysis has proven to be the most effective method for machine condition monitoring to date. Various effective signal analysis methods to analyze and extract fault signature that embedded in the raw vibration signals have been introduced in the past few decades such as fast Fourier transform (FFT), short time Fourier transform (STFT), wavelets analysis, empirical mode decomposition (EMD), Hilbert-Huang transform (HHT), etc. however, these is still a need for human to interpret vibration signature of faults and it is regarded as one of the major challenge in vibration condition monit

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Zurita-Millán, Daniel, Miguel Delgado-Prieto, Juan José Saucedo-Dorantes, et al. "Vibration Signal Forecasting on Rotating Machinery by means of Signal Decomposition and Neurofuzzy Modeling." Shock and Vibration 2016 (2016): 1–13. http://dx.doi.org/10.1155/2016/2683269.

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Vibration monitoring plays a key role in the industrial machinery reliability since it allows enhancing the performance of the machinery under supervision through the detection of failure modes. Thus, vibration monitoring schemes that give information regarding future condition, that is, prognosis approaches, are of growing interest for the scientific and industrial communities. This work proposes a vibration signal prognosis methodology, applied to a rotating electromechanical system and its associated kinematic chain. The method combines the adaptability of neurofuzzy modeling with a signal

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Sokolova, A. G., F. Ya Balitsky, and V. D. Sizarev. "PECULIARITIES OF MACHINERY CONDITION VIBRATION MONITORING WITH USING THE S-DISCRIMINANTS." Kontrol'. Diagnostika, no. 268 (October 2020): 4–11. http://dx.doi.org/10.14489/td.2020.10.pp.004-011.

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The paper presents the results of the specific vibration condition monitoring approach for maintenance of unique critical equipment provided complete access impossibility to its components (due to radiation environment) throughout the entire operation period. The approach bases on the previously proposed S-discriminants of vibrations which are calculated with adaptation to the reference state of the equipment. The method showed its high efficiency in detecting the moment of machine operation process imbalance and in tracking the equipment components degradation, starting from the earliest stag

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Sokolova, A. G., F. Ya Balitsky, and V. D. Sizarev. "PECULIARITIES OF MACHINERY CONDITION VIBRATION MONITORING WITH USING THE S-DISCRIMINANTS." Kontrol'. Diagnostika, no. 268 (October 2020): 4–11. http://dx.doi.org/10.14489/td.2020.10.pp.004-011.

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The paper presents the results of the specific vibration condition monitoring approach for maintenance of unique critical equipment provided complete access impossibility to its components (due to radiation environment) throughout the entire operation period. The approach bases on the previously proposed S-discriminants of vibrations which are calculated with adaptation to the reference state of the equipment. The method showed its high efficiency in detecting the moment of machine operation process imbalance and in tracking the equipment components degradation, starting from the earliest stag

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19

Hofmann, Stephen L. "Vibration Analysis for Preventive Maintenance: A Classical Case History." Marine Technology and SNAME News 24, no. 04 (1987): 332–39. http://dx.doi.org/10.5957/mt1.1987.24.4.332.

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This paper describes the California Maritime Academy's Vibration Monitoring Program for Preventive Maintenance (PM) onboard the Training Ship Golden Bear(TSGB) and how the program detected a potentially dangerous main engine problem. The discovery of machinery operating faults by using vibrational analysis is not unique to marine engineers, but several factors in the Golden Bear's main engine vibration problem make this case a classical one:the nature and extent of the vibration levels;the timing of events and the way the fault developed;the final location of the fault in relationship to the s

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20

Holroyd, Trevor J. "Use of AE Based Instrumentation to Monitor Machinery Condition in the Industrial Environment." Advanced Materials Research 13-14 (February 2006): 45–50. http://dx.doi.org/10.4028/www.scientific.net/amr.13-14.45.

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The use of AE by maintenance personnel for monitoring the condition of rotating machinery on the industrial shop floor is now well established and provides both a quick and effective assessment. Despite early resistance, especially by those accustomed to vibration based monitoring, it now enjoys a widespread acceptance. The development of signal processing routines and instrumentation specifically for the condition monitoring role has been a major factor in this achievement. Experience has shown that as a portable instrument AE can be very quickly applied and give instant indications of machin

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Dou, Chunhong, and Jinshan Lin. "Adaptive Multiscale Symbolic-Dynamics Entropy for Condition Monitoring of Rotating Machinery." Entropy 21, no. 12 (2019): 1138. http://dx.doi.org/10.3390/e21121138.

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Vibration data from rotating machinery working in different conditions display different properties in spatial and temporal scales. As a result, insights into spatial- and temporal-scale structures of vibration data of rotating machinery are fundamental for describing running conditions of rotating machinery. However, common temporal statistics and typical nonlinear measures have difficulties in describing spatial and temporal scales of data. Recently, statistical linguistic analysis (SLA) has been pioneered in analyzing complex vibration data from rotating machinery. Nonetheless, SLA can exam

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Li, Yu, Yixiang Wang, and Yinchun Guo. "Design and development of rotary machinery vibration monitoring system." IOP Conference Series: Materials Science and Engineering 688 (December 6, 2019): 033055. http://dx.doi.org/10.1088/1757-899x/688/3/033055.

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Saimurugan, M., and R. Ramprasad. "A dual sensor signal fusion approach for detection of faults in rotating machines." Journal of Vibration and Control 24, no. 12 (2017): 2621–30. http://dx.doi.org/10.1177/1077546316689644.

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The growing industrial sector utilizes machinery that needs to be monitored continuously by proficient experts and robust software to ensure a proper maintenance strategy. Condition monitoring using vibration signal analysis is one of the chief methods used in predictive maintenance strategy for rotating machinery. Generally, sound signal analysis is considered as secondary as it involves noise. In this paper, the signals for various rotating machinery faults are studied by simulating them in a machine fault simulator at various speeds and the best features are fused to obtain more efficiency

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Ghazali, M. Haryzul, Lim Meng Hee, and M. Salman Leong. "Piping Vibration due to Pressure Pulsations: Review." Advanced Materials Research 845 (December 2013): 350–54. http://dx.doi.org/10.4028/www.scientific.net/amr.845.350.

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Excessive piping vibrations are a major cause of machinery downtime, leaks, fatigue failure, high noise, fires and explosions in refineries and petrochemical plants. In piping system, vibration excitation sources may come from mechanical sources, hydraulics sources or can be the combination of both. Low level vibration amplitude can be amplified when acoustic natural frequency of piping system coincide with the mechanical natural frequency of the piping system of which could lead to piping failure. To address these issues, several condition monitoring techniques to assess and detect excessive

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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 funct

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Burdzik, Rafał, Łukasz Konieczny, and Piotr Folęga. "Structural Health Monitoring of Rotating Machines in Manufacturing Processes by Vibration Methods." Advanced Materials Research 1036 (October 2014): 642–47. http://dx.doi.org/10.4028/www.scientific.net/amr.1036.642.

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The paper presents results of the active diagnostics experiments on influence of fatigue metal damage of the inner race of bearing and unbalance of rotating masses on vibration generated by the machine. Analysis of vibration related phenomena is a solution commonly applied in Structural Health Monitoring (SHM) systems. The application of vibroacoustics methods for technical condition monitoring has been developed in the past years in many systems of manufacturing processes. Vibroacoustic methods, based on the analysis of vibration or acoustic signals perceived as residual processes of non-inva

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MINESCU, Mihail, Marius STAN, Valentin-Paul TUDORACHE, Niculae-Napoleon ANTONESCU, and Alexandru STAN. "Vibration analysis in the process of operation of installations and machines from the oil industry." EMERG - Energy. Environment. Efficiency. Resources. Globalization 6, no. 3 (2020): 94–126. http://dx.doi.org/10.37410/emerg.2020.3.09.

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Vibrations are alternative movements made by the mechanical system in relation to the reference state, being caused by disruptive forces (excitations) whose sizes, directions or points of application vary over time. From the multitude of parameters that, by measuring, give an image of the operating state, the vibrations and noise produced by machines and machines have attracted the attention of researchers, designers, builders and specialists in operation in recent years. Also the vibration and noise offer a high sensitivity to the analysis, but also individuality to the concrete situations, o

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Michalak, Anna, Jacek Wodecki, Michał Drozda, Agnieszka Wyłomańska, and Radosław Zimroz. "Model of the Vibration Signal of the Vibrating Sieving Screen Suspension for Condition Monitoring Purposes." Sensors 21, no. 1 (2020): 213. http://dx.doi.org/10.3390/s21010213.

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Diagnostics of industrial machinery is a topic related to the need for damage detection, but it also allows to understand the process itself. Proper knowledge about the operational process of the machine, as well as identification of the underlying components, is critical for its diagnostics. In this paper, we present a model of the signal, which describes vibrations of the sieving screen. This particular type is used in the mining industry for the classification of ore pieces in the material stream by size. The model describes the real vibration signal measured on the spring set being the sus

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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-bas

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Shin, Y. S., and C. S. Liu. "Vibration Alert Levels in Shipboard Machinery Condition Monitoring and Diagnostics." Naval Engineers Journal 107, no. 1 (1995): 35–44. http://dx.doi.org/10.1111/j.1559-3584.1995.tb02572.x.

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Mitoma, Tetsurou, and Peng CHEN. "208 Vibration Criterion for Rotating Machinery Monitoring by Multivariate Analysis." Proceedings of the Symposium on Evaluation and Diagnosis 2006.5 (2006): 118–23. http://dx.doi.org/10.1299/jsmesed.2006.5.118.

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Narendiranath Babu, T., T. Manvel Raj, and T. Lakshmanan. "A Review on Application of Dynamic Parameters of Journal Bearing for Vibration and Condition Monitoring." Journal of Mechanics 31, no. 4 (2015): 391–416. http://dx.doi.org/10.1017/jmech.2015.6.

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AbstractThe journal bearings are used to support high-speed rotors in turbo machinery which often operate above the rotor first bending critical speed. This bearing provide both lateral support and dynamic coefficients: Stiffness, damping, and mass terms, related to machine vibrations. The various methods of identifying journal bearing dynamic characteristics, from measured data, obtained from different measurement systems, are reviewed. The various approaches to the bearing identification problem are discussed. The various data processing methods in the time and frequency domains are presente

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Wu, Chuan Hui, Yu Guo, and Ya Jun Fan. "Gear Vibration Monitoring System Based on Virtual Instruments." Applied Mechanics and Materials 187 (June 2012): 161–64. http://dx.doi.org/10.4028/www.scientific.net/amm.187.161.

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Vibration analysis is widely used for gear faults diagnosis. A gear vibration monitoring system based on virtual instrument developing platform LabVIEW and vibration analysis technology is developed and introduced in this paper. It satisfies the requirements of machinery condition monitoring and supports function expansion. Online and offline monitoring of gear running states can be realized though this system in both time domain, frequency domain and joint time –frequency domain. Experiments showed that this gear vibration monitoring system can be widely employed in gearbox. System not only g

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Pavan Kumar, GVV, V. V. S. Prasad, and B. H. Nagesh. "Measurement of small vessel machinery vibration induced acoustic signature levels." Journal of Naval Architecture and Marine Engineering 16, no. 2 (2019): 87–98. http://dx.doi.org/10.3329/jname.v16i2.42030.

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Ship vibrations, airborne and underwater noise levels have always been a challenging topic from a performance point of view in ship design, building and operation. The measurement shall help in monitoring the self-noise and the technical state of their machinery mechanism. The vibration levels on the main engine and auxiliary Genset foundation, airborne noise levels of the engine room and underwater self-noise levels of a small mechanized fishing trawler was measured at the jetty in idling condition. The vibration levels on the foundation measured the average value of 0.207 mm/s for the main e

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Du, Taili, Xusheng Zuo, Fangyang Dong, et al. "A Self-Powered and Highly Accurate Vibration Sensor Based on Bouncing-Ball Triboelectric Nanogenerator for Intelligent Ship Machinery Monitoring." Micromachines 12, no. 2 (2021): 218. http://dx.doi.org/10.3390/mi12020218.

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With the development of intelligent ship, types of advanced sensors are in great demand for monitoring the work conditions of ship machinery. In the present work, a self-powered and highly accurate vibration sensor based on bouncing-ball triboelectric nanogenerator (BB-TENG) is proposed and investigated. The BB-TENG sensor consists of two copper electrode layers and one 3D-printed frame filled with polytetrafluoroethylene (PTFE) balls. When the sensor is installed on a vibration exciter, the PTFE balls will continuously bounce between the two electrodes, generating a periodically fluctuating e

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Yunusa-kaltungo, Akilu, and Jyoti K. Sinha. "Effective vibration-based condition monitoring (eVCM) of rotating machines." Journal of Quality in Maintenance Engineering 23, no. 3 (2017): 279–96. http://dx.doi.org/10.1108/jqme-08-2016-0036.

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Purpose The purpose of this paper is mainly to highlight how a simplified and streamlined approach to the condition monitoring (CM) of industrial rotating machines through the application of frequency domain data combination can effectively enhance the eMaintenance framework. Design/methodology/approach The paper commences by providing an overview to the relevance of maintenance excellence within manufacturing industries, with particular emphasis on the roles that rotating machines CM of rotating machines plays. It then proceeds to provide details of the eMaintenance as well as its possible al

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Mogal, S. P., and D. I. Lalwani. "A Brief Review on Fault Diagnosis of Rotating Machineries." Applied Mechanics and Materials 541-542 (March 2014): 635–40. http://dx.doi.org/10.4028/www.scientific.net/amm.541-542.635.

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Vibration in any rotating machines is due to faults like misalignment, unbalance, crack, mechanical looseness etc. Identification of these faults in rotor systems, model and vibration signal based methods are used. Signal processing techniques such as Fast Fourier Transform (FFT), Short-Time Fourier Transform (STFT), Wigner-Ville Distribution (WVD) and Wavelet Transform (WT) are applied to vibration data for faults identification. The intent of the paper is to present a review and summarize the recent research and developments performed in condition monitoring of rotor system with the purpose

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Paul, Okuwobi Idowu, and Yong Hua Lu. "Vibration Monitoring Using Wavelets Transform Feature Extraction Algorithm and Technique." Applied Mechanics and Materials 666 (October 2014): 256–66. http://dx.doi.org/10.4028/www.scientific.net/amm.666.256.

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Vibration is a mechanical phenomenon whereby oscillations occur about an equilibrium point. The oscillation may be periods such as the motion of a pendulum or random such as the movement of tire on a gravel road. Vibration causes waste of energy and creates unwanted sound-noise. Monitoring such process generally possess a big problem especially for a system. The present traditional single resolution techniques could not solve this problem, coupled with the Fourier transform which seems to be one of the best method in analyzing and monitoring vibration in machineries or machinery components.Thi

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Jaber, Alaa Abdulhady, and Robert Bicker. "Design of a Wireless Sensor Node for Vibration Monitoring of Industrial Machinery." International Journal of Electrical and Computer Engineering (IJECE) 6, no. 2 (2016): 639. http://dx.doi.org/10.11591/ijece.v6i2.9296.

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Machine healthy monitoring is a type of maintenance inspection technique by which an operational asset is monitored and the data obtained is analysed to detect signs of degradation, diagnose the causes of faults and thus reducing the maintenance costs. Vibration signals analysis was extensively used for machines fault detection and diagnosis in various industrial applications, as it respond immediately to manifest itself if any change is appeared in the monitored machine. However, recent developments in electronics and computing have opened new horizons in the area of condition monitoring and

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Jaber, Alaa Abdulhady, and Robert Bicker. "Design of a Wireless Sensor Node for Vibration Monitoring of Industrial Machinery." International Journal of Electrical and Computer Engineering (IJECE) 6, no. 2 (2016): 639. http://dx.doi.org/10.11591/ijece.v6i2.pp639-653.

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Machine healthy monitoring is a type of maintenance inspection technique by which an operational asset is monitored and the data obtained is analysed to detect signs of degradation, diagnose the causes of faults and thus reducing the maintenance costs. Vibration signals analysis was extensively used for machines fault detection and diagnosis in various industrial applications, as it respond immediately to manifest itself if any change is appeared in the monitored machine. However, recent developments in electronics and computing have opened new horizons in the area of condition monitoring and

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Howard, I. M. "Higher-order spectral techniques for machine vibration condition monitoring." Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering 211, no. 4 (1997): 211–19. http://dx.doi.org/10.1243/0954410971532622.

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The vibration signals measured from rotating machinery can be very complex and a number of machine malfunctions can create complicated modulation patterns which are sometimes difficult to detect and to understand. Conventional linear spectral analysis will be of limited use in particular instances when frequency components interact together to form new spectral components due to some non-linear process. Under these circumstances, various signal processing tools are available for performing sophisticated analysis of the measured vibration to detect the non-linear interaction of frequency compon

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Ansari, S. A., and R. Baig. "A PC-based vibration analyzer for condition monitoring of process machinery." IEEE Transactions on Instrumentation and Measurement 47, no. 2 (1998): 378–83. http://dx.doi.org/10.1109/19.744177.

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Verma, Ankur, Ayush Goyal, Soundar Kumara, and Thomas Kurfess. "Edge-cloud computing performance benchmarking for IoT based machinery vibration monitoring." Manufacturing Letters 27 (January 2021): 39–41. http://dx.doi.org/10.1016/j.mfglet.2020.12.004.

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Shi, D. F., F. Tsung, and P. J. Unsworth. "Adaptive time–frequency decomposition for transient vibration monitoring of rotating machinery." Mechanical Systems and Signal Processing 18, no. 1 (2004): 127–41. http://dx.doi.org/10.1016/s0888-3270(03)00085-2.

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Ma, Lun, Jian She Kang, and Chun Yu Zhao. "Research on Condition Monitoring of Bearing Health Using Vibration Data." Applied Mechanics and Materials 226-228 (November 2012): 340–44. http://dx.doi.org/10.4028/www.scientific.net/amm.226-228.340.

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A reliable condition monitoring system is very useful in a wide range of industries to detect the occurrence of incipient defects so as to prevent machinery performance degradation, malfunction and sudden failure. Among the rotating machinery, many mechanical problems are attributed due to bearing failures. So implementing condition monitoring for bearing is critically needed. Considering that most research for condition monitoring only focus on detecting the existing fault, this paper add degradation tendency prognostics into the condition monitoring process. The kernel of bearing condition m

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Niculescu, Dan, Marek Vagaš, Adrian Olaru, Mikuláš Hajduk, and Adrian Ghionea. "Establishing the State of Operation on Vibration Behavior of the Industrial Robot." Applied Mechanics and Materials 186 (June 2012): 247–53. http://dx.doi.org/10.4028/www.scientific.net/amm.186.247.

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Diagnosis measurement of vibration and noise, should allow monitoring of equipment defects, through a system of preventive maintenance, predictive. Automatic diagnosis of machinery and equipment was made in order to ensure a higher reliability of these and how to obtain a more extended life cycle without the occurrence of defects. Vibrations are always measured in analog format (time domain) and must be transformed into the frequency domain. Therefore Fast Fourier Transform (FFT) method is used to evaluate vibration Almega AX-V6 robot. The application of preventive and predictive maintenance m

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Zhao, Zhiming, Feng Ji, Yongsheng Guan, and Xiaoyang Yuan. "Vibration and critical characteristics of the tilting pads journal bearing-rotor system." Industrial Lubrication and Tribology 71, no. 2 (2019): 295–300. http://dx.doi.org/10.1108/ilt-03-2018-0112.

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Purpose High power rotating machinery requires large diameter bearings that can perform under extreme conditions. Vibrations and critical speeds of rotor supported by tilting pad journal bearing (TPJBs) exceeding their design limits may cause unit failure. This paper aims to investigate the experimental technique for large diameter bearings. Design/methodology/approach To obtain the experimental support for rotor-bearing system design, an experiment focusing on vibration monitoring is given. The sensors arrangement, monitoring system and critical speed identification method are provided. Findi

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Ma, S., S. M. Li, and Y. P. Xiong. "Uncertainty Reduced Novelty Detection Approach Applied to Rotating Machinery for Condition Monitoring." Shock and Vibration 2015 (2015): 1–10. http://dx.doi.org/10.1155/2015/737213.

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Novelty detection has been developed into a state-of-the-art technique to detect abnormal behavior and trigger alarm for in-field machine maintenance. With built-up models of normality, it has been widely applied to several situations with normal supervising dataset such as shaft rotating speed and component temperature available meanwhile in the absence of fault information. However, the research about vibration transmission based novelty detection remains unnoticed until recently. In this paper, vibration transmission measurement on rotor is performed; based on extreme value distributions, t

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Qadir, Javed, Hameed Qaiser, Mehar Ali, and Masood Iqbal. "Condition monitoring of PARR-1 rotating machines by vibration analysis technique." Nuclear Technology and Radiation Protection 29, no. 3 (2014): 249–52. http://dx.doi.org/10.2298/ntrp1403249q.

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Vibration analysis is a key tool for preventive maintenance involving the trending and analysis of machinery performance parameters to detect and identify developing problems before failure and extensive damage can occur. A lab-based experimental setup has been established for obtaining fault-free and fault condition data. After this analysis, primary and secondary motor and pump vibration data of the Pakistan Research Reactor-1 were obtained and analyzed. Vibration signatures were acquired in horizontal, vertical, and axial directions. The 48 vibration signatures have been analyzed to assess

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Peplow, Andrew, Javad Isavand, Afshar Kasaei, Babak Afzali, and Delphine Bard-Hagberg. "A Speed-Variant Balancing Method for Flexible Rotary Machines Based on Acoustic Responses." Sustainability 13, no. 13 (2021): 7237. http://dx.doi.org/10.3390/su13137237.

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As rotary machines have become more complicated, balancing processes have been classified as a vital step in condition monitoring to ensure that machines operate reliably, smoothly and safely. All rotating objects will deflect during rotation and all objects possess certain natural frequencies in the absence of rotation. However, an unbalanced object can cause significant unwanted deflection created by resonant vibration at a frequency (cycles/second) close to certain rotational speeds (rotations/second), known as critical speeds. This is especially important for flexible machines which normal

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