THERMAL SCIENCE

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Jinwen Li

SIGNAL PROCESSING AND THERMAL PERFORMANCE ANALYSIS OF MOTOR HEAT RECOVERY SYSTEM

ABSTRACT
In order to realize the condition monitoring of the motor "anytime, anywhere", improve the detection accuracy and shorten the detection time, the author proposes a fault signal processing and diagnosis system for the motor heat recovery system based on the IoT. That is, based on the IoT technology, a mobile terminal oriented motor remote monitoring and fault diagnosis system, the sensing layer of the system collects real-time motor operation status data, and the transmission layer realizes data transmission, cloud storage and response to data requests from the application layer, finally, at the mobile end, the motor running status and diagnosis results are displayed through charts and text, so as to realize remote monitoring and fault diagnosis of the motor. The experimental results show that the accuracy of fault diagnosis test of GA-SVM in mobile terminal is more than 90%, and the running time is less than 30 ms, and the running time is very short. It proves that the mobile terminal uses the fault detection method based on GA-SVM model with high accuracy and short detection time, that is, the fault signal processing and diagnosis accuracy of the motor heat recovery system of the IoT is high and the detection time is short.
KEYWORDS
IoT, electric machinery, heat recovery system, fault signal, diagnostic processing
PAPER SUBMITTED: 2022-07-23
PAPER REVISED: 2022-09-15
PAPER ACCEPTED: 2022-09-30
PUBLISHED ONLINE: 2023-03-25
DOI REFERENCE: https://doi.org/10.2298/TSCI2302125L
CITATION EXPORT: view in browser or download as text file
THERMAL SCIENCE YEAR 2023, VOLUME 27, ISSUE Issue 2, PAGES [1125 - 1131]
REFERENCES
  1. Tang, H., et al., Iot-Based Signal Enhancement and Compression Method for Efficient Motor Bearing Fault Diagnosis, IEEE Sensors Journal, 21 (2021), 2, pp. 1820-1828
  2. Draeger, G., et al., Testbed to Evaluate Motor Fault Detection Capability of Electrical Signature Analysis technologies, Transactions of the American Nuclear Society, 33 (2021), 9, pp. 125-201
  3. Cheng, J. H., et al., Design of Motor Intelligent Monitoring and Fault Diagnosis System Based on Lora, IEEE Transactions on Applied Superconductivity, A Publication of the IEEE Superconductivity Committee, 9 (2021), 8, pp. 31-34
  4. Bai, X. Y., et al., Wind Source System of Motor Car Fault Diagnosis Based on the Acoustic Emission Technology and Time Delay Estimation, Software Guide, 7 (2019), 2, pp. 11-30
  5. Wu, Z., et al., Fault Monitoring and Diagnosis of High-Pressure Heater System Based on Improved Particle Swarm Optimization and Probabilistic Neural Network, IOP Publishing Ltd., Bristol, UK, 2022, Vol. 4, No. 9, pp. 36-39
  6. Wencai, S. U., et al., Fault Diagnosis of Motor Bearing Based on ESMD and Fast Kurtogram, Micromotors, 78 (2019), 3, 99
  7. Zhuo, R., et al., Research on Fault Diagnosis Method of Motor Bearing Based on Improved EEMD and SVM, Machine Building and Automation, 66 (2019), 7, pp. 87-89
  8. Trejo, C., et al., Set-Membership Affine Projection Algorithm Based on the Percentage Change of the Error Signal and Variable Projection Order, Latin America Transactions, 6 (2022), 1, 33
  9. Li, P., Fault Diagnosis of Motor Rolling Bearing Based on GWO-SVM, International Core Journal of Engineering, 5 (2019), 10, pp. 238-245
  10. Gao, Z., et al., Fault Monitoring and Diagnosis System of Mechanical and Electrical Appliances in Vehicle Base, Urban Mass Transit, 65 (2019), 3, 78
  11. Chen, Z., Vibration Fault Diagnosis of Marine Propulsion Permanent Magnet Motor Based on Optimized LSSVM, Journal of Zhejiang International Maritime College, 5 (2019), 6, 98
  12. Xia, F., et al., Research on Fault Diagnosis of Drive Motor Based on MATLAB/SIMULINK Simulation, IOP Publishing Ltd., Bristol, UK, 2022, Vol. 3, No. 7, pp. 87-88
  13. Luo, S., et al., Robust Fault Diagnosis of Electric Power Steering System Based on Sliding Mode Observer, Journal of Shaanxi University of Science and Technology, 78 (2019), 1, pp. 44-46
  14. Guihong, L. I., et al., Development of Tools Wearing Fault Diagnosis System Based on EMD and Shannon, Industrial Instrumentation and Automation, 3 (2019), 9, 66
  15. Zi-Yang, L. I., et al., Architecture of Intelligent Management Platform for People's Victory Canal with Internet of Things, China Rural Water and Hydro Power, 8 (2019), 7, pp. 22-26
  16. Yang, Y., Design and Application of Dragon Fruit Shed Monitoring System Based on Lora Internet of Things Technology, Computer Measurement and Control, 6 (2019), 78, pp. 22-29
  17. Tian, J., et al., Laser Detection and Control System Based on Internet of Things Technology, Laser Journal, 3 (2019), 7, pp. 45-49
  18. Zhao, H., et al., Memristor-Based Signal Processing for EDGE Computing, Tsinghua Science and Technology, 27 (2022), 3, pp. 455-471
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Signal processing and thermal performance analysis of motor heat recovery system

© 2024 Society of Thermal Engineers of Serbia. Published by the Vinča Institute of Nuclear Sciences, National Institute of the Republic of Serbia, Belgrade, Serbia. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International licence