Influence of voltage fluctuation on rotor broken bar fault detection of asynchronous motor

被引：0
|
作者：
Xu B.-Q. [1 ]
Chen S.-Y. [2 ]
Xie Z.-F. [1 ]
Chen J.-W. [1 ]
机构：
[1] School of Electrical and Electric Engineering, North China Electric Power University, Baoding
[2] State Grid Hengshui Electric Power Supply Company, Hengshui
来源：
Dianji yu Kongzhi Xuebao/Electric Machines and Control | 2022年 / 26卷 / 09期
关键词：
asynchronous motor; broken rotor bar; fluctuation coefficient; instantaneous reactive power; singular value decomposition; voltage fluctuation;
D O I：
10.15938/j.emc.2022.09.002
中图分类号：
学科分类号：
摘要：
Based on instantaneous reactive power signal analysis, the rotor bar fault detection method of asynchronous motor was presented. It is pointed out that the frequency component of amplitude modulation wave would be reflected in the instantaneous reactive power signal spectrum when the voltage fluctuates, and accuracy of this kind of detection method would be adversely affected. The fluctuation signal from the original voltage signal was extracted by singular value decomposition technique and Frobenius norm ratio method, and the concept of voltage fluctuation coefficient was proposed to quantify the magnitude of voltage fluctuation. The coefficient can also reflect the influence of voltage fluctuation on this kind of detection method; Furthermore, the threshold value of voltage fluctuation coefficient of asynchronous motor was derived based on whether it affects this kind of detection method. Before the fault detection of broken rotor bars based on instantaneous reactive power signal analysis, the voltage signal fluctuation analysis was conducted to determine whether the voltage fluctuation affects the fault detection, which makes the traditional method more reliable. The data simulation and experimental results prove that this method is feasible. © 2022 Editorial Department of Electric Machines and Control. All rights reserved.
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页码：9 / 17
页数：8
相关论文
共 15 条
  • [1] XU Boqiang, TIAN Shihua, Detection for broken rotor fault in induction motors combining multiple signal classification algorithm with extended Prony, Journal of North China Electric Power University(Natural Science Edition), 42, 6, (2015)
  • [2] DELEROI W., Broken bar in squirrel cage rotor of an induction motor, Part 1: description by superimposed fault currents, Arch. fur Elektrotechnik, 67, 1, (1984)
  • [3] WILLIAMSON S, SMITH A., Steady-state analysis of 3-phase cage motors with rotor-bar and end-ring faults, Proc. IEE, 129, 3, (1982)
  • [4] XU Boqiang, LI Minghe, SUN Liling, Et al., The application of wavelet analysis to detect rotor bar breaking fault of squirrel cage asynchronous motor on-line, Proceedings of the CSEE, 21, 11, (2001)
  • [5] (2003)
  • [6] LI Ruiyu, LIU Fei, LIANG Lin, Et al., Fault identification of broken rotor bars for the variable frequency AC motor based on parameter optimized variational mode decomposition, Transactions of China Electrotechnical Society, 36, 18, (2021)
  • [7] ZHANG Yahui, YANG Kai, YANG Fan, Rotor fault diagnosis of induction motor based on wavelet packet energy analysis and signal fusion, Electrical Measurement & Instrumentation
  • [8] LIU Zhenxing, YIN Xianggen, ZHNG Zhe, Et al., On-line rotor fault diagnosis way based on spectrum analysis of instantaneous power in squirrel cage induction motor, Proceedings of the CSEE, 23, 10, (2003)
  • [9] XU Boqiang, SUN Liling, Concurrent discrimination of rotor fault and load oscillation in induction motors, Proceedings of the CSEE, 36, 23, (2016)
  • [10] KUMAR P, HATI A S., Transfer learning-based deep CNN model for multiple faults detection in SCIM, Neural Computing and Applications, (2021)
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