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Zhang, Yunfan, Hui Li, Shengnan Shen, et al. "Investigation of Acoustic Injection on the MPU6050 Accelerometer." Sensors 19, no. 14 (2019): 3083. http://dx.doi.org/10.3390/s19143083.
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Acoustic injection is one of the most dangerous ways of causing micro-electro–mechanical systems (MEMS) failures. In this paper, the failure mechanism of acoustic injection on the microprocessor unit 6050 (MPU6050) accelerometer is investigated by both experiment and simulation. A testing system was built to analyze the performance of the MPU6050 accelerometer under acoustic injection. A MEMS disassembly method was adopted and a MATLAB program was developed to establish the geometric model of MPU6050. Subsequently, a finite element model of MPU6050 was established. Then, the acoustic impacts on the sensor layer of MPU6050 were studied by acoustic–solid coupling simulations. The effects of sound frequencies, pressures and directions were analyzed. Simulation results are well agreed with the experiments which indicate that MPU6050 is most likely to fail under the sounds of 11,566 Hz. The failure mechanism of MPU6050 under acoustic injection is the relative shift of the capacitor flats caused by acoustic–solid resonance that make the sensor detect false signal and output error data. The stress is focused on the center linkage. MPU6050 can be reliable when the sound pressure is lower than 100 dB.
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PRIYADI, IRNANDA, FAISAL HADI, SALWA KHOTIMAH, and BESPERI BESPERI. "Modul Deteksi dan Perekaman Data Gempa berbasis Database Earthquake Intensity (DEI)." ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika 9, no. 3 (2021): 648. http://dx.doi.org/10.26760/elkomika.v9i3.648.
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ABSTRAKIndonesia, khususnya provinsi Bengkulu, adalah salah satu negara yang rawan bencana gempa. Hal ini disebabkan karena secara histografi, posisi wilayah Indonesia merupakan pertemuan tiga lempeng aktif yang setiap kali lempeng ini bergeser menimbulkan patahan yang menyebabkan terjadinya gempa bumi. Paper ini membahas tentang rancangan modul deteksi gempa yang diberi nama Earthquake Intensity Meter. Rancangan modul terdiri dari sensor MEMS MPU6050 dan 2 buah sensor piezoelektrik. Masing-masing sensor dipisahkan dengan jarak 10 meter dengan sensor MPU6050 yang menjadi pusatnya dan 2 sensor piezoelektrik hanya sebagai pemicu. Kombinasi sensor MPU6050 dan 2 sensor piezoelektrik mampu digunakan untuk membedakan getaran gempa dan bukan gempa dengan tingkat keberhasilan 32%. Aplikasi Vibrometer yang digunakan sebagai media kalibrasi, memiliki selisih 17% dengan intensity meter. Sedangkan akurasi sensor MPU6050 dalam rancangan modul memiliki selisih 11,17% dengan aplikasi vibrometer. Data hasil pendeteksian rancangan divisualisasikan secara realtime dan disimpan pada aplikasi DEI yang dirancang dengan VB 2010.Kata kunci: deteksi gempa, mpu6050, piezoelektrik, vibrometer, VB 2010 ABSTRACTIndonesia, especially Bengkulu province, is one of the countries prone to earthquake disasters. This is because histographically, the position of the Indonesian territory is a junction of three active plates which each time these plates shift, causing fractures that cause earthquakes. This paper discusses the design of an earthquake detection module called the Earthquake Intensity Meter. The module design consists of a MEMS MPU6050 sensor and 2 piezoelectric sensors. Each sensor is separated by a distance of 10 meters with the MPU6050 sensor at the center and 2 piezoelectric sensors only as a trigger. The combination of the MPU6050 sensor and 2 piezoelectric sensors can be used to distinguish between earthquake and non-earthquake vibrations with a 32% success rate. The Vibrometer application, which is used as a calibration medium, has a difference of 17% with an intensity meter. Meanwhile, the accuracy of the MPU6050 sensor in the module design has a difference of 11,17% with the vibrometer application. Data from design detection results is visualized in real time and stored in the DEI application designed with VB 2010.Keywords: earthquake detector, mpu6050, piezoelectric, vibrometer, VB 2010
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Буслаев, А. Б., Н. Н. Кошелева, and С. С. Белокопытов. "MPU6050 MODULE CONTROL UNIT ON THE IC BUS BASED ON A MICROCONTROLLER." ВЕСТНИК ВОРОНЕЖСКОГО ГОСУДАРСТВЕННОГО ТЕХНИЧЕСКОГО УНИВЕРСИТЕТА, no. 2 (May 11, 2021): 65–69. http://dx.doi.org/10.36622/vstu.2021.17.2.010.
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Рассматривается модуль GY-521, на котором установлена микросхема MPU6050, объединяющая в одном корпусе акселерометр, гироскоп и температурный датчик. Такие датчики изготовлены на основе микромеханических систем (МЭМС), основным преимуществом которых является малый размер, низкое энергопотребление и небольшая стоимость. Одновременное использование акселерометра и гироскопа позволяет определить изменение движения тела в трехмерном пространстве. Рассмотрены основные характеристики используемого модуля. Управление микросхемы осуществляется с помощью архитектуры интерфейса IC «ведущий-ведомый». В работе ведомым является MPU6050, а ведущим (производит запрос на чтение или запись данных) является микроконтроллер, имеющий в своем составе аппаратную шину передачи данных IC. Показана возможная программная реализация алгоритма подключения нескольких ведомых устройств (шести микросхем MPU6050). Представлена принципиальная схема подключения к одному порту ввода-вывода микроконтроллера. Рассмотрен алгоритм работы микроконтроллера с подключенными микросхемами (шестью) MPU6050. Приведены пример программы (с использованием языка ассемблер) инициализации связи с MPU6050, а также программа считывания данных для снятия последних измерений акселерометра, гироскопа, температурного датчика. Применение нескольких модулей с одновременным считыванием с них информации позволяет осуществлять контроль систем управления полетом, имеющих совокупность нескольких управляющих поверхностей и устройств The paper considers the GY-521 module, which is equipped with the MPU6050 chip, which combines an accelerometer, a gyroscope and a temperature sensor in one housing. Such sensors are made on the basis of micromechanical systems (MEMS), the main advantages of which are small size, low power consumption and low cost. The simultaneous use of an accelerometer and a gyroscope allows you to determine the change in the movement of a body in three-dimensional space. We considered the main characteristics of the module used. The control of the chip is carried out using the architecture of the IC interface "master-slave". In operation, the MPU6050 is the host, and the master (makes a request to read or write data) is a microcontroller that has an IC hardware data bus. We show a possible software implementation of the algorithm for connecting multiple slave devices (six MPU6050 chips). We present a schematic diagram of the connection to a single I/O port of the microcontroller. We consider the algorithm of operation of the microcontroller with connected chips (six) MPU6050. We give an example of a program (using the assembly language) for initializing communication with the MPU6050, as well as a program for reading data for taking the latest measurements of the accelerometer, gyroscope, and temperature sensor. The use of several modules with simultaneous reading of information from them allows you to control flight control systems that have a set of several control surfaces and devices
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Chairunnas, Andi, and Triyoga Ginanjar Pamungka. "SISTEM KONTROL ROBOT PENYEIMBANG BERBASIS ARDUINO MENGGUNAKAN METODE PID DENGAN KOMUNIKASI BLUETOOTH HC-05." Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika 15, no. 2 (2019): 140–51. http://dx.doi.org/10.33751/komputasi.v15i2.1380.
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Penelitian ini membahas tentang sistem kontrol robot penyeimbang berbasis Arduino menggunakan metode pid dengan komunikasi bluetooth hc-05. Software yang di gunakan adalah Arduino IDE. Alat yang di gunakan pada sistem ini yaitu Arduino uno, MPU6050, drivermotor, bluetooth hc-05. Sistem ini berjalan berdasarkan inputan dari sensor MPU6050 yang digunakan untuk mendapatkan nilai tengah pada sebuah keseimbangan robot, Jika nilai keseimbangan tidak sama dengan nilai tengah maka motor robot akan bergerak dan berusaha untuk menyeimbangkan robot. Dan pada sistem ini di kontrol menggunakan bluetooth hc-05 sebagai mengontrol nilai tengah dan menetapkan nilai tengah.
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Saefurrahman, Haris, Hartono Hartono, and Farzand Abdullatif. "Rancang bangun sistem peringatan kemiringan menara dan overload jembatan gantung berbasis sensor kemiringan dan sensor massa." Jurnal Teras Fisika 4, no. 1 (2021): 203. http://dx.doi.org/10.20884/1.jtf.2021.4.1.4119.
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Sistem peringatan kemiringan menara dan overload jembatan gantung berbasis sensor kemiringan dan sensor massa telah dibuat. Sistem peringatan memanfaatkan sensor Load Cell sebagai alat pengukur massa di atas jembatan gantung dan sensor kemiringan MPU6050 sebagai alat pengukur kemiringan menara jembatan gantung. Mikrokontrol arduino digunakan sebagai pusat kendali sistem elektronika, sekaligus sebagai pengatur fungsi logika peringatan untuk mengaktifkan LED, buzzer dan LCD. Hasil penelitian sistem diperoleh ADC dari sensor kemiringan MPU6050 dan tegangan keluaran dari sensor Load Cell guna mengetahui fungsi kalibrasi sensor. Hasil uji karakteristik statik sensor kemiringan dan sensor massa memiliki rata-rata nilai akurasi sebesar 96,39% dan 99,55%, presisi sebesar 96,33% dan 99,55%, error sebesar 3,61%dan 0,45% serta waktu respon sebesar 1 detik dan 2 detik.
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Xu, Tao, Wei Sun, Shaowei Lu, Ke-ming Ma, and Xiaoqiang Wang. "The real-time elderly fall posture identifying scheme with wearable sensors." International Journal of Distributed Sensor Networks 15, no. 11 (2019): 155014771988561. http://dx.doi.org/10.1177/1550147719885616.
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The accidental fall is the major risk for elderly especially under unsupervised states. It is necessary to real-time monitor fall postures for elderly. This paper proposes the fall posture identifying scheme with wearable sensors including MPU6050 and flexible graphene/rubber. MPU6050 is located at the waist to monitor the attitude of the body with triaxial accelerometer and gyroscope. The graphene/rubber sensors are located at the knees to monitor the moving actions of the legs. A real-time fall postures identifying algorithm is proposed by the integration of triaxial accelerometer, tilt angles, and the bending angles from the graphene/rubber sensors. A volunteer is engaged to emulate elderly physical behaviors in performing four activities of daily living and six fall postures. Four basic fall down postures can be identified with MPU6050. Integrated with graphene/rubber sensors, two more fall postures are correctly identified by the proposed scheme. Test results show that the accuracy for activities of daily living detection is 93.5% and that for fall posture identifying is 90%. After the fall postures are identified, the proposed system transmits the fall posture to the smart phone carried by the elderly via Bluetooth. Finally, the posture and location are transmitted to the specified mobile phone by short message.
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Rahmadya, Budi Rahmadya. "Sistem Peringatan Dini Bencana Longsor Menggunakan Sensor Accelerometer dan Sensor Kelembabapan Tanah Berbasis Android." Journal of Information Technology and Computer Engineering 2, no. 02 (2018): 14–20. http://dx.doi.org/10.25077/jitce.2.02.14-20.2018.
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Landslide is one of the most frequent disasters in Indonesia, especially in hilly areas, valleys, and volcanoes. Geographical conditions that are generally mountainous areas and have slopes make the soil unstable. As a result, when the movement of the land becomes easy to slide. Ground shifts and excessive water content are the main causes of landslides. The landslide disaster can cause many losses, such as to cause loss of life, can disrupt transportation facilities, damage agricultural land, and various other consequences. In this study used sensor MPU6050 and Soil Moisture and NodeMcu sensors to provide early warning of landslides. Linear acceleration is detected by using MPU6050 sensor and will define the ground movement based on the scenarios developed in this study. Soil moisture sensor detects soil moisture. The result of soil movement detection and soil moisture is stored in file storage. When ground detection and soil moisture is greater than 51%, the alarm alert is sent to the user's smartphone with a 100% success percentage.
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Artha, Onny Octaviani, Budi Rahmadya, and Rahmi Eka Putri. "Sistem Peringatan Dini Bencana Longsor Menggunakan Sensor Accelerometer dan Sensor Kelembabapan Tanah Berbasis Android." Journal of Information Technology and Computer Engineering 2, no. 02 (2018): 64–70. http://dx.doi.org/10.25077/jitce.2.02.64-70.2018.
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Landslide is one of the most frequent disasters in Indonesia, especially in hilly areas, valleys, and volcanoes. Geographical conditions that are generally mountainous areas and have slopes make the soil unstable. As a result, when the movement of the land becomes easy to slide. Ground shifts and excessive water content are the main causes of landslides. The landslide disaster can cause many losses, such as to cause loss of life, can disrupt transportation facilities, damage agricultural land, and various other consequences. In this study used sensor MPU6050 and Soil Moisture and NodeMcu sensors to provide early warning of landslides. Linear acceleration is detected by using MPU6050 sensor and will define the ground movement based on the scenarios developed in this study. Soil moisture sensor detects soil moisture. The result of soil movement detection and soil moisture is stored in file storage. When ground detection and soil moisture is greater than 51%, the alarm alert is sent to the user's smartphone with a 100% success percentage.
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墨, 岩峰. "Design of Navigation and Attitude Demonstration System Based on MPU6050." Instrumentation and Equipments 07, no. 03 (2019): 176–85. http://dx.doi.org/10.12677/iae.2019.73024.
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Palaha, Fadhli, and Yolnasdi. "Analisa Rancangan Keseimbangan Menggunakan Sensor Imu Type – Mpu6050 Pada Quadcopter." Sainstek (e-Journal) 8, no. 2 (2020): 96–104. http://dx.doi.org/10.35583/js.v8i2.125.
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Kontroler Proporsional Integral Deferensial (PID) merupakan kontroler yang memiliki stabilitas yang baik dengan tingkat error dan overshoot yang kecil. Penelitian ini bertujuan untuk mencapai nilai keseimbangan dan kehandalan quadqopter pada saat terbang. Quadcopter yang dirancang diputar oleh motor brushless direct current (BLDC) yang dikontrol oleh Arduino. Keluaran dari Arduino berupa PWM menjadi masukan untuk penggerak motor, dimana kecepatan keluaran dari motor akan dideteksi oleh sensor MPU-6050. Setelah itu akan terjadi pengulangan proses, sampai kecepatan memenuhi nilai set point.
 Penentuan hasil parameter kontroler PID ini didapatkan dengan menggunakan rumus-rumus sederhana dan proses trial and error. Dimana hasil parameter kontroler PID diperoleh nilai Kp = 1.3, Ki = 0.05 dan Kd = 15. Dengan nilai Kp, Ki dan Kd tersebut sistem dapat berjalan dengan baik dengan mempertahankan kecepatan putaran motor mendekati setpoint. Hasil pengujian menunjukkan bahwa quadcopter dengan pengendali PID dapat hovering dengan stabil. Meski respon sikap pada kondisi transien masih memiliki overshoot. Hal ini dapat diatasi salah satunya dengan menggunakan skema pengendali yang kokoh.
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Satrio Pambudi, Nicko, Dewa Made Wiharta, and Nyoman Putra Sastra. "ANALISA KESTABILAN GERAKAN STATIS PADA ROBOT HUMANOID." Jurnal SPEKTRUM 5, no. 2 (2018): 253. http://dx.doi.org/10.24843/spektrum.2018.v05.i02.p32.
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Tujuan dari penelitian ini adalah untuk merancang bangun robot humanoid yang dapat berjalan dengan stabil dan tidak mudah jatuh. Robot humanoid ini dirancang agar dapat mengikuti ajang perlombaan Kontes Robotika Indonesia kategori robot humanoid sepak bola yang diselenggarakan oleh Kemenristekdikti. Robot dapat berjalan dengan stabil pada lapangan berumput dan mampu menggiring bola lalu memasukannya ke gawang lawan. Robot yang digunakan menggunakan 8 servo dynamixel AX-12 dan 10 servo dynamixel AX-18. Robot dilengkapi dengan sebuah kamera pada bagian kepala robot dengan rangka akrilik. Untuk mendeteksi kemiringan robot digunakan sensor MPU6050. Kontrol utama yang digunakan adalah Raspberry Pi. Robot dikatakan stabil jika selama melakukan pergerakan robot tidak mudah terjatuh. Untuk mencapai kestabilan pergerakan robot secara statis perlu diperhatikan titik COG (Center of Gravity) dari robot agar selalu tegak lurus dengan support polygon atau tumpuan robot.. Hasil dari pengujian sensor MPU6050 menunjukkan ketika robot miring ke depan atau ke belakang maka output sumbu Y mengalami perubahan dan ketika miring ke kiri atau ke kanan maka output sumbu X akan berubah. Pengujian gerakan statis robot menunjukan bahwa robot berhasil tidak terjatuh selama berjalan.
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Dai, Xiao Yan, and Zhi Gang Chen. "The Gyro Error Analysis Based on Allan Variance." Applied Mechanics and Materials 644-650 (September 2014): 1369–71. http://dx.doi.org/10.4028/www.scientific.net/amm.644-650.1369.
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In this paper, we did the analysis of the gyro error using Allan variance method, static output data using a three-axis gyroscope of the global first integrated six-axis motion processing components MPU6050. Experimental result shows that it not only improves the estimation accuracy of gyro error, but also the amount of data required is greatly reduced.
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Fitriani, Diah Ayu, Wahyu Andhyka, and Diah Risqiwati. "Design of Monitoring System Step Walking With MPU6050 Sensor Based Android." JOINCS (Journal of Informatics, Network, and Computer Science) 1, no. 1 (2017): 1. http://dx.doi.org/10.21070/joincs.v1i1.799.
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Walking is said to increase endurance, burn calories and improve cardiovascular health. To monitor the steps when walking, we need a tool that is a gyroscope sensor MPU6050. Making this tool uses a gyroscope sensor for monitoring footsteps because Gyroscope is used to measure or determine the orientation of an object based on the provisions of angular momentum. This tool has been tested by foot with a number of different steps. The device test carried out by one person testers.Data obtained from these tests resulting from the detection lower limit value and upper limit value of X axis angle data is used in data processing is the value of the X-axis is converted into a sine wave form chart. To detect footsteps, each wave has the upper value limit is 20o and the bottom value is -20o. Once the step is detected, these measures will be multiplied by the width of the foot when walking, then obtained distance
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Kumar, M. Ravi, S. A. K. Jilani, S. Javeed Hussain, and P. R. Ratna Raju.K. "An Automated ThingSpeak System representing MPU6050 Sensor data using Raspberry PI." International Journal of Engineering Trends and Technology 29, no. 1 (2015): 29–34. http://dx.doi.org/10.14445/22315381/ijett-v29p206.
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Huang, Z. W., Z. Chen, B. P. Bian, and Y. Tang. "Design of Quadrotor Helicopter Based on STM32." Applied Mechanics and Materials 644-650 (September 2014): 790–93. http://dx.doi.org/10.4028/www.scientific.net/amm.644-650.790.
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Quadrotor helicopter is light and very agile aerial robots which attracted much attention of scientists. A practical implementation of a quadrotor helicopter based on STM32 is described in this article, applying MPU6050 and other inertial sensors. The hardware structures and software flow chart of flight control are both presented. The discussions with the key problems during the process of implementation are also made.
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Ulwiyati, Nely, Aghus Sofwan, and Sumardi Sumardi. "FILTERING UNTUK AKUISISI DATA PADA JARINGAN SENSOR NIRKABEL (JSN)." TRANSIENT 7, no. 3 (2019): 811. http://dx.doi.org/10.14710/transient.7.3.811-818.
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Sumber utama data sensor adalah pengukuran yang dilakukan pada suatu fenomena fisik atau fenomena yang telah termodelkan, oleh karena itu data yang diperoleh dari pengukuran sensor dapat mengalami kesalahan dalam pengukurannya. Hal itu dapat disebabkan karena sensor mendapatkan gangguan (noise) yang berasal dari lingkungan sekitar dimana sensor tersebut dipasang. Proses pembersihan ataupun penyaringan (filter) hasil pembacaan sensor yang kurang akurat menjadi sebuah proses dibutuhkan. Pada penelitian ini dilakukan proses penyaringan (filter) pada dua jenis sensor yang digunakan pada sensor node dari sistem Jaringan Sensor Nirkabel untuk pendeteksian dini bencana tanah longsor berbasis IoT. Kedua jenis sensor tersebut adalah sensor IMU MPU6050 dan sensor kelembaban FC-28. Data berupa sudut yang diperoleh dari sensor MPU6050 merupakan hasil penggabungan data dari sensor akselerometer dan giroskop dengan menggunakan metode tapis komplementer. Sedangkan untuk sensor kelembaban FC-28 menggunakan metode tapis pelewat bawah R-C untuk mendapatkan hasil bacaan kelembaban yang lebih akurat. Berdasarkan hasil percobaan, kedua tapis tersebut dapat bekerja dengan baik mereduksi noise. Penggunaan tapis komplementer pada pengukuran sudut kemiringan menghasilkan nilai rata-rata error sebesar pada pengukuran sudut roll sebesar 0,08, sedangkan penggunaan tapis pelewat rendah menghasilkan nilai rata-rata error sebesar 0,5 pada pengukuran nilai kelembaban tanah.
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Wang, Jing, and Zhong Yu Xi. "Research on the Visual Self-Stabilization System of the Automated Guided Vehicle (AGV)." Applied Mechanics and Materials 577 (July 2014): 452–56. http://dx.doi.org/10.4028/www.scientific.net/amm.577.452.
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In view of the unstable phenomenon of the visual system of the AGV in the automatic system, the paper adopts the MEMS gyroscope MPU6050 to collect the status of the visual holder. We can guarantee the stability of the holder, obtain clear pictures and improve the operating validity of the vision-based guided AGV by controlling the brushless motor through the Arduino single chip microcomputer program.
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Dai, Xiao Yan, Zhi Gang Chen, and Xian Xie. "The Gyro Random Walk Analysis Based on Allan Variance." Applied Mechanics and Materials 668-669 (October 2014): 953–56. http://dx.doi.org/10.4028/www.scientific.net/amm.668-669.953.
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In this paper, we did the analysis of the gyro random migration using Allan variance method, static output data using a three-axis gyroscope of the global first integrated six-axis motion processing components MPU6050. Experimental result shows that the fitting of bias instability and angle random walk smoother, it not only improves the estimation accuracy of random walk coefficient, but also the amount of data required is greatly reduced.
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Li, Jing, Wei Zhang, and Bing Xu. "Design of Two-Wheeled Self-Balancing Robot Control System." Advanced Materials Research 1044-1045 (October 2014): 774–77. http://dx.doi.org/10.4028/www.scientific.net/amr.1044-1045.774.
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The main controller STM32F103VET6 was used as the core of the system. The change of angle and angular velocity was detected by accelerometer and gyroscope built-in six axis attitude sensor MPU6050. The double closed-loop control was used to regulate the speed of DC motor JGA25-371, so as to adjust the posture of the robot. Test shows that the whole system design is simple, good stability and anti-jamming.
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Ubay, Sabrina Nurul, Wahyu Andhyka Kusuma, and Zamah Sari. "Pengembangan Sistem Monitoring Langkah Kaki Dengan Sensor Mpu6050 Untuk Menghitung Jumlah Penurunan Berat Badan Berbasis Android." Jurnal Repositor 2, no. 2 (2020): 123. http://dx.doi.org/10.22219/repositor.v2i2.164.
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AbstrakJalan kaki memiliki banyak manfaat, dan salah satunya adalah untuk menurunkan berat badan. Dalam usaha untuk menurunkan berat badan diperlukan adanya pembakaran kalori. Untuk mengetahui hasil pembakaran kalori diperlukan suatu alat yaitu Daily Fitness Activity yang gunanya untuk memonitoring pembakaran kalori dan penurunan berat badan dengan penghitungan menggunakan suatu rumus yang melibatkan jumlah langkah kaki, waktu, serta berat badan pengguna. Untuk mendapatkan jumlah langkah kaki dibutuhkan suatu alat yaitu gyroscope dari sensor MPU6050. Sensor tersebut berperan sebagai monitoring langkah kaki karena berfungsi untuk mengukur dan menentukan orientasi suatu benda berdasarkan pada ketetapan momentum sudut. Abstract Walking has many benefits, and one of them is to lose weight. In an effort to lose weight, it needs calorie burning. To find out the calorie burning results required a tool that is Daily Fitness Activity is useful for monitoring calorie burning and weight loss by calculation using a formula that involves the number of footsteps, time, and weight of the user. To get the required number of foot steps a tool is a gyroscope of the MPU6050 sensor. The sensor acts as foot step monitoring because it serves to measure and determine the orientation of an object based on the determination of angular momentum.
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Albaghdadi, Ahmed, and Abduladhem Ali. "An Optimized Complementary Filter For An Inertial Measurement Unit Contain MPU6050 Sensor." Iraqi Journal for Electrical and Electronic Engineering 15, no. 2 (2019): 71–77. http://dx.doi.org/10.37917/ijeee.15.2.8.
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It can be said that the system of sensing the tilt angle and speed of a multi-rotor copter come in the first rank among all the other sensors on the multi-rotor copters and all other planes due to its important roles for stabilization. The MPU6050 sensor is one of the most popular sensors in this field. It has an embedded 3-axis accelerometer and a 3-axis gyroscope. It is a simple sensor in dealing with it and extracting accurate data. Everything changes when this sensor is placed on the plane. It becomes very complicated to deal with it due to vibration of the motors on the multirotor copter. In this study, two main problems were diagnosed was solved that appear in most sensors when they are applied to a high-frequency vibrating environment. The first problem is how to get a precise angle of the sensor despite the presence of vibration. The second problem is how to overcome the errors that appear when the multirotor copter revolves around its vertical axis during the tilting in either direction x or y or both. The first problem was solved in two steps. The first step involves mixing data of the gyroscope sensor with the data of auxetometer sensor by a mathematical equation based on optimized complementary filter using gray wolf optimization algorithm GWO. The second step involves designing a suitable FIR filter for data. The second problem was solved by finding a non-linear mathematical relationship between the angles of the copter in both X and Y directions, and the rotation around the vertical axis of multirotor copter frame.
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Asnada, Rosada Tri, and Sulistyono Sulistyono. "Pengaruh Inertial Measurement Unit (IMU) MPU- 6050 3-Axis Gyro dan 3-Axis Accelerometer pada Sistem Penstabil Kamera (Gimbal) Untuk Aplikasi Videografi." Jurnal Teknologi Elektro 11, no. 1 (2020): 48. http://dx.doi.org/10.22441/jte.2020.v11i1.007.
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Otomasi sistem merupakan penggabungan antara mekanik, dan software menjadi sebuah fungsi tertentu sebagai cara untuk mempermudah kehidupan manusia. Otomasi sistem pada bidang fotografi memiliki prospek yang cukup menarik untuk dikembangkan peralatan otomatis yang menunjang keperluan fotografi. Dengan adanya sistem penstabil kamera (gimbal), videografer bisa mengambil gambar dengan hasil kualitas yang memadai di tempat manapun tanpa harus memikirkan getaran maupun gerakan yang akan mengganggu kamera saat pengambilan video. Sistem yang diimplementasikan ini menggunakan mikrokontroller dan sensor MPU6050 yaitu sebuah sensor yang memiliki 3-axis gyroscope dan 3-axis accelerometer. Gimbal merupakan salah satu perangkat sinematografi yang digunakan untuk menjaga posisi kamera agar kamera dapat mengambil gambar dengan baik pada suatu sudut pandang tertentu. Untuk mengetahui sudut pada gimbal dapat digunakan sensor IMU yang terdiri dari sebuah accelerometer dan gyroscope. Sensor accelerometer dapat mengukur sudut dengan baik saat diam, dan sensor gyroscope dapat mengukur sudut saat benda bergerak. Berdasarkan hasil analisa dan pengujian yang telah dilakukan pada penelitian ini akan memungkinkan kamera untuk bergerak bebas tanpa menghasilkan goyangan saat pengambilan gambar. Alat penstabil kamera ini menggunakan sensor gyroscope dan accelerometer dengan tipe MPU6050. Untuk bagian pengendali menggunakan modul mikrokontroler Arduino Nano ATMega328 dan sebagai penggeraknya digunakan 3 buah motor servo yang berfungsi untuk mempertahankan posisi kamera pada set point yang sudah ditentukan. Diharapkan dengan perancangan prototype ini akan dapat membantu meningkatkan hasil kualitas video
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Zhong, Guo Wen, and Hua Cao. "Electromagnetic Motion Device Based on LPC2131 of PID Control." Advanced Materials Research 898 (February 2014): 919–23. http://dx.doi.org/10.4028/www.scientific.net/amr.898.919.
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Design of a ARM7 LPC2131 as the control core, through the H bridge chip LN298 driver power through the coil produces a changing magnetic field, the magnetic deflection force start swinging of the swing rod, the angle sensor (model MPU6050) feedback magnet swing angle signal, control coil magnetic field by using PID technology, so as to the electromagnetic force to precisely control the pendulum swing angle of the objective, by the TFT liquid crystal display pendulum swing angle, cycle, response time, stop time.
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Yudhana, A., J. Rahmawan, and C. U. P. Negara. "Flex sensors and MPU6050 sensors responses on smart glove for sign language translation." IOP Conference Series: Materials Science and Engineering 403 (October 9, 2018): 012032. http://dx.doi.org/10.1088/1757-899x/403/1/012032.
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Ooi, K. R., M. A. A. Rosli, A. R. A. Latiff, W. A. F. W. Othman, S. S. N. Alhady, and A. A. A. Wahab. "Design of hoeckens linkage based walking robot with MPU6050 IMU as navigation sensor." Journal of Physics: Conference Series 1969, no. 1 (2021): 012004. http://dx.doi.org/10.1088/1742-6596/1969/1/012004.
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Latkar, Charu. "Railway Track Monitoring System." International Journal for Research in Applied Science and Engineering Technology 9, no. VII (2021): 1403–10. http://dx.doi.org/10.22214/ijraset.2021.36134.
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For the protection and proximity of railway networks it is substantial to Promptly detect and identify faults in the railway tracks. In this paper, railway track fault diagnosis is approximated from the vertical and lateral acceleration using a MPU6050. MPU6050 consisting of three sensors namely gyroscope, magnetometer and accelerometer are used to distinguish line and level as symetricities in a railway track. A GSM module is used to notify the location of faults on tracks. Arduino Microcontroller is interfaced using Arduino UNO IDE. The results show that the condition of railway track irregularity and railway track striation can be approximated constructively. The processed data is uploaded to the open source cloud provider thingspeak.com. The use of various Machine Learning Algorithms are proposed to accomplish the above tasks based on the commonly available measured signals. By considering the signals from multiple railway tracks in a geographic location, faults are diagnosed from their spatial and temporal dependencies. The irregularities in the railway tracks are detected using the Inertial Monitoring Unit, providing the necessary data about future deformities using Machine Learning. Using Python 3.0, a generative model is developed to show that the AdaBoost network can learn these dependencies directly from the data. Seven different classification algorithms used for this project are Logistic regression,Naive Bayes Algorithm,Support Vector Machine, Ensemble Machine (Average) learning Algorithm, XGBoost Classifier, Extreme Machine Learning and AdaBoost Classifier. Among the above 7 classification algorithms, AdaBoost Learning has given the highest accuracy,i.e of 93.93 %. The AdaBoost Machine Learning Model is used throughout the model.
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Umam, Faikul. "Kestabilan Kecepatan Mobile Robot pada Lintasan Mendatar, Tanjakan Serta Turunan." Rekayasa 12, no. 2 (2019): 168–73. http://dx.doi.org/10.21107/rekayasa.v12i2.6396.
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Mobile robot merupakan salah satu kategori robot yang memiliki fungsi untuk berpindah tempat. Pengembangan dari mobile robot yaitu implementasi perubahan lintasan mendatar¸ tanjakan serta turunan. Ketika robot berjalan terdapat gangguan tak terukur dari luar yang mempengaruhi respon sistem. Hal ini menyebabkan kecepatan robot berubah-ubah, sehingga dibutuhkan suatu mekanisme yang mampu membuat mobile robot menjaga stabilitas dan kemampuan jelajah untuk kestabilan kecepatan mobile robot. Penelitian ini menerapkan metode PID untuk mengatur servo berdasarkan input dari gyro Z, sehingga membuat mobile robot berjalan tanpa keluar dari lintasannya dengan nilai konstanta Kp = 5, Ki = 0 dan Kd = 1. Respon sistem mencapai stedy state dengan nilai servo 90°, dari detik ke-8 sampai detik ke-13,5. Mobile robot dapat menjaga kestabilan kecepatan ketika melewati lintasan mendatar, tanjakan serta turunan dengan menerapkan metode fuzzy logic controller dan kontrol PID dengan nilai konstanta Kp = 1,5, Ki = 0 dan Kd = 0,2. Respon yang diberikan oleh sistem mencapai steady state nilai kecepatan 0,88 pada detik ke-16,4. Sensor yang digunakan untuk mengetahui kemiringan lintasan yaitu sensor MPU6050 nilai gyro Y dan sensor rotary encoderMobile Robot Speed Stability on Flat Road, Upward and Descend TrajectoriesAbstractMobile robot is a robot that can move to other places. The development of a mobile robot is the implementation of changes in in flat, upward and descending trajectories. When robot runs there are immeasurable interference that affects the system response. This causes robot speed is change, so we need a solution for mobile robot to maintain stability and movement capability for stability the robot speed. This research applies the PID method to set the servo based on the input from the gyro Z, so as to make the mobile robot run without leaving its path with constant values Kp = 5, Ki = 0 and Kd = 1. This research applies PID method to set servo motor based on input from gyro Z, so as to make the mobile robot run on path with constant values Kp = 5, Ki = 0 and Kd = 1. The system response reaches steady state when the servo value is 90 °, from the 8th second to the 13.5th second. Mobile robots can maintain the stability of speed when flat road, upward, and descend trajectories by applying the fuzzy logic controller and PID control methods with constant values of Kp = 1.5, Ki = 0 and Kd = 0.2. The response given by the system reaches a steady state speed value of 0.88 at 16.4 seconds. The sensors used to determine the slope of the track are the MPU6050 Y gyro sensor and rotary encoder sensor.Keyword: mobile robot, MPU6050, rotary encoder sensor, fuzzy logic controller and PID control.
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Rifajar, Ibnu, and Abdul Fadlil. "The Path Direction Control System for Lanange Jagad Dance Robot Using the MPU6050 Gyroscope Sensor." International Journal of Robotics and Control Systems 1, no. 1 (2021): 27–40. http://dx.doi.org/10.31763/ijrcs.v1i1.225.
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The ability to walk straight on a dance robot is very important considering that in competitions, dance robots are required to be able to walk through several zones starting from the starting zone and ending with the closed zone. Therefore, a control system is needed in the Lanange Jagad dance robot so that the robot can control the direction of its walking motion and reduce errors in dance motion while walking on the dance robot. This control system uses a reading value based on the orientation of the rotating motion on the yaw angle axis on the MPU6050 gyroscope sensor which will later be used as a corrector for dance robots when performing various dance movements while walking in the competition arena. From the results of the overall test of the Lanange Jagad dance robot after adding the road direction control system, the percentage of the success rate in the battery power supply condition is 12 volts to 12.6 volts by 100% with the greater the battery power supply, the error in the robot's final angle average to The starting angle of the robot is getting smaller and the percentage of the success rate at the slope of the 0o to 4o race arena is 93.3%. With the tilted race arena, the error in the mean error of the robot's final angle to the starting angle of the robot is also greater, so it can be concluded that the robot can be controlled direction of walking and can walk straight to the finish in the closed zone.
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Zhang, Zhong Ran, Yuan Ma, Bo Jiao, and Tong Liang Liu. "Solar Tracking Device Based on Electronic Compass and Accelerometer." Advanced Materials Research 981 (July 2014): 522–25. http://dx.doi.org/10.4028/www.scientific.net/amr.981.522.
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A solar tracking device was designed in this paper. First, In order to determine the initial direction of the mechanism and the east, HMC5883L was used for measuring the magnetic field of earth. Then, the mechanism began to operate according to the solar position which was confirmed though the astronomical calculation. Finally, the azimuth and the elevation angle of solar were measured and corrected by HMC5883L and MPU6050 respectively. HMC5883L was calibrated by the ellipse fitting, which was obtained though the least square method. The horizontal error of HMC5883L was compensated. The experimental study was performed. And the results show that the solar tracking device has the characteristics of stable operation, high flexibility and low requirement of installation precision.
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Kong, Deshan, Dong Jiang, and Yanchao Zhao. "Electromagnetic Suspension Acceleration Measurement Model and Experimental Analysis." Electronics 9, no. 2 (2020): 226. http://dx.doi.org/10.3390/electronics9020226.
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This paper introduces a prototype of the inertial sensor based on electromagnetic suspension. By analyzing and simulating the change of the magnetic field, the dynamic equation of proof mass has been deduced. The device has the characteristics of a high-frequency accelerometer and a vibration frequency sensor, and the horizontal and vertical frequency ranges of the magnetic suspension acceleration measurement system are 50–500 Hz and 35–650 Hz, and the acceleration measurement ranges are ±3.3 m/s 2 and ±10 m/s 2 , respectively. Compared with the MPU6050 accelerometer, this measurement method has higher sensitivity and retains more vibration acceleration information of the measured object. This paper provides a new idea for the design of the acceleration sensor.
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Setiawan, Arif, Abdul Muid, and Irma Nirmala. "Rancang Bangun Alat Pendeteksi Kerusakan Bearing pada Kendaraan Roda Empat menggunakan Metode KNN (K-Nearest Neighbor)." POSITRON 8, no. 2 (2018): 31. http://dx.doi.org/10.26418/positron.v8i2.27508.
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Pada penelitian ini, telah dibuat prototipe alat yang dapat mendeteksi kerusakan bearing pada kendaraan roda empat. Perangkat keras yang digunakan antara lain sensor getaran MPU6050, Modul Mikrokontroler Arduino Nano, Modul Bluetooth, dan smartphone. Alat ini memanfaatkan getaran dari roda pada sebuah kendaraan untuk mengetahui kondisi bearing-nya yang akan ditampilkan pada smartphone. Besarnya getaran yang terukur oleh sensor (accelerometer dan gyroscope) akan diklasifikasikan dan digunakan untuk membuat kategori baik, aman, dan rusak, menggunakan metode K-Nearest Neighbor (KNN). Hubungan antara perangkat lunak dan perangkat keras pendukung sistem dikendalikan oleh Arduino Nano. Kategori kerusakan bearing berhasil ditampilkan pada layar sebuah smartphone sehingga alat ini memiliki keunggulan antara lain murah, portable dan akurat. Tingkat keberhasilan sistem dalam mengenali nilai getaran berdasarkan pengujian mencapai nilai sebesar 90,37%.
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Han, Jianhai, Xiangpan Li, and Qi Qin. "Design of Two-Wheeled Self-Balancing Robot Based on Sensor Fusion Algorithm." International Journal of Automation Technology 8, no. 2 (2014): 216–21. http://dx.doi.org/10.20965/ijat.2014.p0216.
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A two-wheeled, self-balancing robot is proposed using 6-axis MEMS sensors MPU6050 to measure its posture. The sensors integrated with a 3-axis gyroscope and a 3-axis accelerometer, can output the inclination of the robot based on sensor fusion algorithm. A handheld remote controller sends out commands to the robot such as forward, back, and turning around. According to the inclination and orientation commands, a 16-bit MCU using the PID control algorithm calculates the required control voltage for the motors, to adjust the robot’s posture and keep the body balanced. In this paper, the principle of the sensor fusion algorithm is fully described, and its effects are verified through related experiments. The experimental results show that the proposed robot is practical and able to balance using inexpensive MEMS sensors.
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Arrohman, Shofi Hadi, Siswoko Siswoko, and Agus Sukoco Heru Sumarno. "KONTROL STABILIZER 2 AXIS UNTUK KAMERA PADA MOBIL REMOTE CONTROL DENGAN METODE PID." Jurnal Elektronika dan Otomasi Industri 3, no. 3 (2020): 121. http://dx.doi.org/10.33795/elkolind.v3i3.100.
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Pemanfaatan mobil untuk pengambilan gambar menggunakan kamera pada lintasan medan yang beragam akan menjadikan gambarkamera tidak focusdikarena mobil mengalami perubahan posisi di sumbu X dan Y. Tujuan penelitian ini adalah membuat rekayasa rangkaian elektronika yang mampu mempertahankan posisi kamera konstan pada sumbu X dan Y agar gambar yang dihasilkan oleh kamera menjadi bagus. System ini dibuat dengan menggunakan sensor Accelerometer MPU6050. Untuk kontroler menggunakan Arduino Uno. Dan menggunakan dua buah motor servo sebagai akuator stabilizer. Mobil remote control sebagi alat bantu untuk membawa stabilizer kamera, Action cam sebagai kamera yang akan diletakkan pada mobil remote control. PID sebagai system control kesluruhan elektrik. Dari hasil penelitianinidapat disimpulkan bahwa dengannilaiKp = 1, Ki = 0, Kd = 0 motor servo X mampumempertahankankamerakonstanpadasetpoint 0°denganwaktueror rata-rata 0,29s.Sedangkan motor servo Y dengnannilaiKp = 1, Ki = 0, Kd = 0 mampumempertahankankamerakonstanpadasetpoint 0°denganwaktueror rata-rata 0,33s.
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Suksmadana, Made Budi, Zaenudin Ramli, and Giri Wahyu Wiriasto. "IMPLEMENTASI DAN PERANCANGAN SISTEM KENDALI POSISI KETINGGIAN (ALTITUDE) QUADCOPTER BERBASIS ARDUINO UNO R3." DIELEKTRIKA 7, no. 1 (2020): 38. http://dx.doi.org/10.29303/dielektrika.v7i1.233.
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ABSTRAK
 Sebuah quadcopter dilengkapi dengan sensor ultrasonic HC-SR04 yang digunakan untuk membaca jarak yang bertujuan untuk menahan posisi ketinggian dari quadcopter. Pemanfaatan quadcopter tersebut pada bidang militer, multimedia, dan untuk penelitian yang tidak dapat dijangkau oleh manusia akan sangat tepat, khususnya untuk mengambil gambar dan video serta untuk pengambilan data penelitian. Quadcopter yang dirancang ditugaskan untuk mampu menahan posisi ketinggian tertentu sesuai dengan set-point yang diberikan. Pengambilan keputusan sistem, kontrol motor brushless sebagai aktuator, dan pengontrolan sensor-sensor dilakukan oleh mikrokontroler (atmega328). Pengendali kestabilan dan pengaturan posisi ketinggian quadcopter menggunakan kendali PID yang telah diterapkan kedalam sistem. Hasil dari penelitian ini adalah quadcopter mampu menahan posisi ketinggian sesuai dengan set-point yang diberikan dan quadcopter mampu stabil di ketinggian tersebut, untuk menahan posisi ketinggian 10 cm rata-rata error-nya 0.42 cm, posisi ketinggian 20 cm rata-rata error-nya 0.29 cm dan posisi ketinggian 30 cm rata-rata error-nya 0.32 cm.
 
 Kata kunci : quadcopter, sensor ultrasonic HC-SR04, IMU MPU6050, mikrokontroler, kendali PID
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Samosir, Ahmad Sopi, and Nuryono Satya Widodo. "Gyroscope and Accelerometer Sensor on the Lanange Jagad Dance Robot Balance System." Buletin Ilmiah Sarjana Teknik Elektro 2, no. 2 (2020): 51. http://dx.doi.org/10.12928/biste.v2i2.922.
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In performing dance moves, humanoid robots are expected to move flexibly and not easily fall during dance moves. To reduce the risk of robots falling while performing dance moves, a balance control system using a gyroscope sensor and accelerometer from the MPU6050 is controlled through the Arduino MEGA 2560 PRO. Robots that have balance control, are able to maintain stability in track conditions that have a certain degree of slope. This balance control system uses the Kalman filter method for processing data from the gyroscope sensor and accelerometer in order to reduce the noise that occurs during the robot's balance process. From the results of the test, the percentage of the success rate of robots in rest was 88.8%, the percentage of success when the robot was running was 86.6%, and the percentage of success when the robot was walking with dancing was 75%. From the results of all tests, humanoid robot has a percentage of 83.4% after adding a balance control system and when the humanoid robot does not use balance control will only produce a percentage of success rate of 48.4%.
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Škultéty, Emil, Elena Pivarčiová, and Ladislav Karrach. "Design of an Inertial Measuring Unit for Control of Robotic Devices." Materials Science Forum 952 (April 2019): 313–22. http://dx.doi.org/10.4028/www.scientific.net/msf.952.313.
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Industrial robots are increasingly used to automate technological processes, such as machining, welding, paint coating, assembly, etc. Automation rationalizes material flows, integrates production facilities and reduces the need for manufacturing inventory, provides cost savings for human maintenance. Technology development and growing competition have an influence on production growth and increase of product quality, and thus the new possibilities in innovation of industrial robot are searched for. One of the possibilities is applying of an inertial navigation system into robot control. This article focuses on new trends in manufacturing technology: design of Inertial Measurement Unit (IMU) for a robotic application control. The Arduino platform is used for the IMU as a hardware solution. The advantage of this platform is low cost and wide range of sensors and devices that are compatible with this platform. For scanning, the MEMS sensor MPU6050 is used, which includes a 3-axis gyroscope and an accelerometer in one chip. New trends in manufacturing facilities, especially robotics innovation and automation, will enable the productivity to grow in production processes.
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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. http://dx.doi.org/10.11591/ijeecs.v21.i3.pp1381-1388.
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<span>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.</span>
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Prasetyawan, Purwono, Selamet Samsugi, and Rizky Prabowo. "Internet of Thing Menggunakan Firebase dan Nodemcu untuk Helm Pintar." Jurnal ELTIKOM 5, no. 1 (2021): 32–39. http://dx.doi.org/10.31961/eltikom.v5i1.239.
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Pemerintah indonesia sudah membuat undang undang dengan tujuan keselamatan dalam berkendara, namun sebagian masyarakat masih melanggarnya, terutama dalam mengenakan helm standar dan berkendara dalam kondisi lelah atau mengantuk. Hal ini perlu dikampanyekan untuk kesadaran masyarakat. Salah satu tren teknologi di era industri 4.0 adalah Internet of Things (IoT). Dalam artikel ini membahas pemanfaatan teknologi IoT untuk membantu keselamatan pengendara dalam upaya preventif dengan mendesain prototipe helm pintar. Helm ini mempunyai kepintaran untuk memaksa pengendara mengenakan helm dengan benar (helmet detection) dan mengingatkan pengendara bilamana mengantuk (drowsiness detection). Penelitian ini menggunakan metode experimental, menerapkan platform Firebase dan NodeMCU untuk menghadirkan konsep IoT dalam implementasi fungsionalitas helm pintar tersebut. Accelerometer MPU6050 digunakan untuk drowsiness detection dan untuk helmet detection menggunakan flex sensor disertai switch untuk memastikan sabuk helm sudah dikenakan dengan baik. Aktuator dari deteksi helm adalah relay (kontak ke engine motor), sedangkan aktuator deteksi kantuk adalah buzzer (suara beep). Dua fungsionalitas helm pintar ini berjalan dengan baik. Adapun nilai akurasi untuk deteksi kantuk adalah 78% dan untuk deteksi helm 100%.
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Sholihin and Eka Susanti. "Humanoid Robot Control System Balance Dance Indonesia and Reader Filters Using Complementary Angle Values." E3S Web of Conferences 31 (2018): 10003. http://dx.doi.org/10.1051/e3sconf/20183110003.
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The development of increasingly advanced technology, make people want to be more developed and curiosity to know more to determine the development of advanced technology. Robot is a tool that can be used as a tool for people who have several advantages. Basically humanoid robot is a robot that resembles a human being with all the driving structure. In the application of this humanoid robot manufacture researchers use MPU6050 module which is an important component of the robot because it can provide a response to the angle reference axis X and Y reference axis, the reading corner still has noise if not filtered out beforehand. On the other hand the use of Complementary filters are the answer to reduce the noise. By arranging the filter coefficients and time sampling filter that affects the signal updates corner. The angle value will be the value of the sensor to the process to the PID system which generates output values that are integrated with the servo pulses. Researchers will test to get a reading of the most stable angle for this experiment is the "a" or the value of the filter coefficient = 0.96 and "dt" or the sampling time = 10 ms.
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Reynaldi, Muhammad Irsyad, Aghus Sofwan, and Sumardi Sumardi. "PERANCANGAN PENGUKURAN PERGESERAN TANAH PADA SISTEM PERINGATAN DINI BENCANA TANAH LONGSOR." TRANSIENT 7, no. 3 (2019): 768. http://dx.doi.org/10.14710/transient.7.3.768-774.
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Tanah longsor merupakan salah satu bencana yang sering terjadi di Indonesia. Longsor dapat terjadi karena adanya beberapa faktor utama. Salah satu faktor tersbut adalah curah hujan yang tinggi dan kelembaban tanah. Selain itu ada beberapa faktor yang dapat diperhitungkan yang dapat menyebabkan bencana longsor. Dibutuhkan suatu sistem yang dapat mengakuisisi data data dilapangan agar dapat memprediksi terjadinya bencana longsor. Pada penelitian ini dibuatlah perancangan 3 buah prorotipe akusisi data dengan 4 parameter penyebab terjadinya tanah longsor. 4 parameter itu berupa kemiringan lereng yang dapat diukur dengan sensor MPU 6050, curah hujan yang diukur dengan sensor tipping bucket dengan reed switch, kadar air dengan 2 sensor kelembaban FC-28, dan getaran tanah yang diukur dengan sensor 801s. Sistem ini pun dilengkapi dengan proses pengambilan data ataupun log data secara realtime dengan SD Card dalam proses secara langsung dan pengiriman via server mealalui SIM900. Untuk indikasi alarm digunakan SX1278. Perancangan sistem ini berdasarkan hasil pembacaan 4 parameter ynag diukur. Dari hasil pengujian sensor didapatkan hasil pembacaan nilai setiap masing masing sensor dengan error 0.165 untuk sensor MPU6050, 0 untuk sensor tipping bucket, 0 pada sensor 801S, dan 0.39 dan 0.710 untuk 2 sensor kelembaban FC-28.
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Jose, Basil. "Smart Hand Glove for Hearing and Speech Impaired." International Journal for Research in Applied Science and Engineering Technology 9, no. 8 (2021): 978–84. http://dx.doi.org/10.22214/ijraset.2021.37528.
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Abstract: With the advancement of technology, we can implement a variety of ideas to serve mankind in numerous ways. Inspired by this, we have developed a smart hand glove system which will be able to help the people having hearing and speech disabilities. In the world of sound, for those without it, sign language is a powerful tool to make their voices heard. The American Sign Language (ASL) is the most frequently used sign language in the world, with some differences depending on the nation. We created a wearable wireless gesture decoder module in this project that can transform the basic set of ASL motions into alphabets and sentences. Our project utilizes a glove that houses a series of flex sensors on the metacarpal and interphalange joints of the fingers to detect the bending of fingers, through piezoresistive (change in electrical resistance when the semiconductor or metal is subjected to mechanical strain) effect. The glove is attached with an accelerometer as well, that helps to detect the hand movements. Simple classification algorithms from machine learning are then applied to translate the gestures into alphabets or words. Keywords: Arduino; MPU6050; Flex sensor; Machine learning; SVM classifier
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Znamenshchykov, Yaroslav, Yuriy Shkyrya, Sergii Nekrasov, and Andrii Dovhopolov. "Determination of the angle of the device inclination relative to the horizon using a measuring system based on the MPU6050 microelectromechanical sensor." Bulletin of the National Technical University «KhPI» Series: New solutions in modern technologies, no. 4(6) (December 30, 2020): 65–70. http://dx.doi.org/10.20998/2413-4295.2020.04.10.
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Rong, Jian, Shiyang Song, Zhen Dang, Hongliang Shi, and Yong Cao. "Rail Track Irregularity Detection Method Based on Computer Vision and Gesture Analysis." International Journal of Online Engineering (iJOE) 12, no. 12 (2016): 55. http://dx.doi.org/10.3991/ijoe.v12i12.6444.
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In this paper, rail track irregularity detection system based on computer vision and SVD analysis is proposed and located in the train's operator cabin near the front. Images are captured by FLEA3 camera of Point-Grey, and vibration signals are collected by sensor device MPU6050 integrating 3-axis accelerometer and 3-axis gyroscope. Root mean square of gray-scale threshold Pulse Coupled Neural Network (RMS-PCNN) is used for segmentation of the rail track's image in a single loop, and the improved coupled map lattice(CML) is used for filtering the image and signifying the rail track. After perspective, the track radius can be fetched by analysis of regression. Vibration signal filtered by SVD-unscented Kalman filter(UKF) can reflect the wagon movements. In unscented Kalman filter, Cholesky is replaced by SDV in UT(unscented transform), which can solve negative definite matrix caused by covariance matrix on account of calculation error and round-off error. Also numerical stability is improved under the guarantee of filtering accuracy and the same complexity level of algorithm based on SVD-UKF. Looking up the radius record table, the corresponding threshold in gyroscope signal can be selected, and Compared to the super elevation, the invisible irregularity defects of rail bed will be found out.
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Setiawan, Agung Wahyu, Lavita Nur'aviana Rizalputri, and Ahmad Habbie Thias. "Pengembangan Alat Bantu Komunikasi Penderita Pascastroke Menggunakan Flex Sensor dan Accelerometer." Jurnal Teknologi Informasi dan Ilmu Komputer 6, no. 2 (2019): 129. http://dx.doi.org/10.25126/jtiik.2019621264.
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<p class="Abstrak">Pada tahun 2013, prevelansi penderita stroke di Indonesia sebesar 12,1 % serta merupakan penyebab kematian kedua dan penyebab disabilitas ketiga di dunia. Di Indonesia, angka kontribusi proporsional <em>disability-adjusted life-years</em> (DALYs) dari stroke sekitar 9,7 % dan merupakan penyebab disabilitas nomor satu. Penderita yang mengalami disabilitas akan kesulitan melakukan aktivitas sehari-hari, terutama berkomunikasi. Oleh karena itu perlu dikembangkan alat bantu komunikasi yang dapat membantu penderita pascastroke berkomunikasi sehari-hari dengan memanfaatkan gerakan telapak tangan. Pada penelitian ini digunakan empat buah <em>flex sensor</em> yang diletakkan pada jari telunjuk, tengah, manis, dan kelingking serta satu sensor 3-<em>axis</em> <em>gyroscope</em> MPU6050. Alat bantu komunikasi untuk penderita pascastroke ini telah berfungsi untuk mendeteksi tujuh gerakan dasar, yaitu: “Ya”, “Tidak”, “Saya mau pergi kesana”, “Jam berapa sekarang?”, “Saya mau makan”, “Saya mau minum”, dan “Halo!”. Ketujuh kata atau kalimat tersebut juga ditampilkan di sebuah <em>display</em>. Pendeteksian ketujuh gerakan ini diperoleh dari tekukan empat jari yang dideteksi menggunakan <em>flex sensor</em> dan posisi tangan di arah 3 sumbu (x, y, dan z) menggunakan <em>gyroscope</em> yang diletakkan pada sebuah sarung tangan. Alat ini diharapkan dapat menjadi awal dalam pengembangan alat bantu komunikasi untuk penderita.</p><p class="Abstrak"> </p><p class="Abstract"><strong>Abstract</strong></p><p class="Abstract"><em>In 2013, prevalence of stroke in Indonesia is 12.1% and the second leading cause of deaths and the third most common cause of disability in the world. In Indonesia, disability-adjusted life-years (DALYs) proportional contribution of stroke is around 9.7% and the first leading cause of disability. Patients with disabilities will have difficulty for performing daily life activities, especially communicating with other people. Therefore, it is necessary to develop communication assistive device that can help post-stroke patients to communicate using their palm. Four flex sensors mounted on the index, middle, ring, and pinky fingers; and one 3-axis gyroscope MPU6050 sensor. This communication asisstive device has fully function to detect seven basic movement for daily life communication, that is: "Yes", "No", "I want to go there", "What time is it?", "I want to eat", "I want to drink" and "Hello!". The seven words / sentences also appear on the viewer screen. The detection of these seven motions is obtained from the four flex sensors and the position of the hand in the 3-axes (x, y, and z) direction from gyroscope that is placed on a glove. This research is a preliminary research in the area of assistive device technology for post-stroke patients.</em></p>
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Zhang, Pingxia, Junru Zhu, and Yongqiang Zhu. "Analysis on Hover Control Performance of T- and Cross-Shaped Tail Fin of X-Wing Single-Bar Biplane Flapping Wing." Journal of Robotics 2020 (July 21, 2020): 1–13. http://dx.doi.org/10.1155/2020/8880338.
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The current flapping wing adopts T-shaped or cross-shaped tail fin to adjust its flight posture. However, how the tail fin will affect the hover control is not very clear. So, the effects of the two types of tail on flight will be analyzed and compared by actual flight tests in this paper. Firstly, we proposed a new X-wing single-bar biplane flapping-wing mechanism with two pairs of wings. Thereafter, the overall structure, gearbox structure, tail, frame, and control system of the flapping wing were designed and analyzed. Secondly, the control mechanism of hover is analyzed to describe the effect of two-tail fin on posture control. Thirdly, the Beetle was used as the control unit to achieve a controllable flight of flapping wing. The MPU6050 electronic gyroscope was used to monitor the drone’s posture in real time, and the Bluetooth BLE4.0 wireless communication module was used to receive remote control instructions. At last, to verify the flight effect, two actual flapping wings were fabricated and flight experiments were conducted. The experiments show that the cross-shaped tail fin has a better controllable performance than the T-shaped tail fin. The flapping wing has a high lift-to-mass ratio and good maneuverability. The designed control system can achieve the controllable flight of the flapping wing.
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Khankalantary, Saeed, Saeed Ranjbaran, and Hassan Mohammadkhani. "Simultaneous compensation of systematic errors of a low-cost MEMS triaxial accelerometer and its temperature dependency without accurate laboratory equipment." Sensor Review 41, no. 2 (2021): 208–15. http://dx.doi.org/10.1108/sr-12-2020-0309.
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Purpose Laboratory calibration methods are time-consuming and require accurate devices to find the error coefficients of the low-cost microelectromechanical system (MEMS) accelerometer. Besides, low-cost MEMS sensors highly depend on temperature because of their silicon property and the effect of temperature on error coefficients should also be considered for compensation. This paper aims to present a field calibration method in which the accelerometer is placed in different positions without any accurate equipment in a few minutes and its temperature is changed by a simple device like a hairdryer. Design/methodology/approach In this paper, a non-linear cost function is defined based on this rule that the magnitude of the acceleration measured by the accelerometer in static mode is equal to the gravity plus error factors. Also, the dependency of error coefficients of the accelerometer is presented as a second-order polynomial in this cost function. By minimizing the cost function, the accelerometer error coefficients include bias, scale factor and non-orthogonality and their temperature dependency are obtained simultaneously. Findings Simulation results in MATLAB and empirical results of a MPU6050 accelerometer verify the good performance of the proposed calibration method. Originality/value Finding a fast and simple field calibration method to calibrate a low-cost MEMS accelerometer and compensate for the temperature dependency without using accurate laboratory equipment can help a wide range of industries that use advanced and expensive sensors or use expensive laboratory equipment to calibrate their sensors, to decrease their costs.
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Rahimunnisa, K., Atchaiya M., Brindhhiniy Arunachalam, and V. Divyaa. "AI-based smart and intelligent wheelchair." Journal of Applied Research and Technology 18, no. 6 (2020): 362–67. http://dx.doi.org/10.22201/icat.24486736e.2020.18.6.1351.
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The differently abled and/or old-aged people require assistance for their movement. Generally, such assistant providing tool is wheelchair. Normal wheelchairs are manually operated and heavy to move adding burden to the suffered. Hence, automated wheelchairs that are equipped with sensors and a data processing unit constitute a special class of wheeled mobile robots, termed as “smart wheelchairs” in general. In the existing system, the wheelchair movement that is controlled by joystick uses buttons to start and stop the wheel. This is difficult for the differently abled to press the required button with precision. Although there are smart wheelchairs with gesture control, it lacks accuracy in the calculation of the location. The proposed system uses artificial intelligence for its working and proves to be a unique combination of wheelchair and health monitoring system. The wheelchair can be accessed both in manual and automatic modes. In the manual mode, the wheel is controlled using joystick whereas in the automated mode, MPU6050 sensor and accelerometer is used to control the direction by gesture. SPO2 sensor attached to the wheelchair is used to collect the health parameters. Thus, enabling the self-dependency of the person. Further, deep learning analysis of the data from the sensors and the wheelchair usage pattern is compared with the dataset to determine the stress level. The signal from the sensors is monitored and the vitals data is updated in the ThingSpeak website via Bluetooth module serving as a digital health chart.
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Zabielski, Jacek, and Piotr Srokosz. "Monitoring of Structural Safety of Buildings Using Wireless Network of MEMS Sensors." Buildings 10, no. 11 (2020): 193. http://dx.doi.org/10.3390/buildings10110193.
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The 21st century abounds in modern electronic-information technologies, which are applied in many areas of life. Amongst many modern technologies there is also the Internet of Things (IoT) that is the concept of incorporating objects and devices equipped with a communication interface into the telecommunication and IT networks. This particular feature makes IoT a paradigm that can be successfully applied to measurement systems used in research in civil engineering, especially using a wireless sensor network deployed in scattered research locations. In turn, technological progress in the miniaturization of sensors and controllers allows the construction of very efficient and low-cost systems for monitoring the physical parameters of buildings, which are safety indicators. The main purpose of this paper is to present the concept of wireless network of MEMS-based sensors with particular emphasis on its application in monitoring of structural safety including the author’s own system based on Long Range (LoRa) technology. The exact novelty of the proposed concept is the synergistic synthesis of solutions in the field of electronics, micromechanics and computer science, applied for civil engineering purposes. The system consists of MEMS accelerometers based on MPU6050 chips and A1302 Hall-effect sensors supported by AVR microcontrollers and LoRa transceivers based on RF98 chips operating at 433 MHz. The prototype of the measuring network was installed in a selected university building in which structural discontinuities (wall cracks) were noted. Sample results of measurements of the impact of service loads on the building structure behavior were presented in the form of accelerograms.
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Shahid, Mohammed Abdulsami. "Intelligent Accident-Detection and Ambulance - Rescue System." International Journal for Research in Applied Science and Engineering Technology 9, no. VI (2021): 3671–77. http://dx.doi.org/10.22214/ijraset.2021.35933.
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Accidents are the major causes of death, be it in today's most technologically advanced world. Road accidents and traffic congestion are the major problems in urban areas. Currently there is no technology for detection of accidents. Also due to the delay in reaching of the ambulance to the accident location and the traffic congestion in between accident location and hospital increases the chances of the death of the victim. There is a need of introducing a system to reduce the loss of life due to accidents and the time taken by the ambulance to reach the hospital. Yearly lots of visually impaired people lose their lives by being victims of such accidents. To overcome the drawback of existing system we will implement the new system in which there is an automatic detection of accident through sensors and it will send the location of the accident to the Nearest Hospital, Police station and to the family members which will rush an ambulance from a nearest hospital to the accident spot. This will minimize the time of ambulance to reach the hospital. To achieve this we are using like MEMS (Micro Electro Mechanical Systems) (MPU6050), And using GPS module we will get the location where the accident took place and by using NODEMCU and IFTTT messaging protocol we will send the message of obtained location. Along with this there would be control of traffic light signals in the path of the ambulance using RFID TECHNOLOGY. This system is fully automated, thus it finds the accident spot, controls the traffic lights, helping to reach the hospital in time.
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Zheshko, Aleksandr, Viktor Tarasenko, Oleg Rolich, and Anatoliy Dunayev. "DIAGNOSTICS WITH A MULTI-CHANNEL MEASURING SYSTEM WITH A FLEXIBLE STRUCTURE OF BOSCH INJECTORS." Tekhnicheskiy servis mashin 1, no. 142 (2021): 55–64. http://dx.doi.org/10.22314/2618-8287-2020-59-1-55-64.
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At the CR-Jet 4E stand, the vibroacoustic signals of BOSCH injectors were studied using a multichannel system with a flexible structure in the BGATU Educational Institution. They were processed in the Mathcad system with spectral analysis and wavelet transformations in MATLAB programs. (Research purpose) The research purpose is in analyzing the vibration characteristics of BOSCH injectors, identifying possible malfunctions and predict their service life. (Materials and methods) The article presents testing results of a new and working nozzle at an injection pressure of 158, 200 and 1000 bar. In five tests it were used the MPU6050 vibration sensors, the INMP621 microphone, and the temperature sensor. The vibration signals were displayed along the xyz axes according to the amplitude-frequency response with the Fourier transform. (Results and discussion) The article presents graphs of wavelet transformations and amplitude-frequency characteristics from five binary files of accelerometer signals and sound files of injectors. The article presents the accelerometer signals on the y-axis at the top of the graphs, the spectrum of their constancy in the middle, and the scalogram at the bottom. For worn-out injectors, the spectrum of constancy is less expressed, the main signal peaks are in the frequencies of 150 and 300 hertz, they are less than in the new nozzle, and the amplitudes are higher up to 800 units. For the new nozzle, the uniform peaks are less than 200 units. The acoustic amplitude of the worn-out nozzle is 150 units, and the new one at frequencies up to 250 hertz is up to 120 units. (Conclusion) Studies of BOSCH injectors with signal processing in the Mathcad system, followed by spectral analysis and wavelet transformations using the MATLAB software package, have shown that the worn-out injectors are characterized by a less expressed spectrum of oscillation constancy. The research goals have not been achieved, but they deepen the traditional diagnosis.