Variational nonlinear single chirp mode extraction and its application in bearing fault diagnosis of motors

被引:0
|
作者
Jiang T. [1 ]
Zhang Q. [1 ,2 ]
Zhang J. [1 ]
Wei X. [1 ]
机构
[1] School of Mechanical Engineering, Xi’an Jiaotong University, Xi’an
[2] Key Laboratory of Education, Ministry for Modern Design and Rotor-Bearing System, Xi’an Jiaotong University, Xi’an
关键词
fault diagnosis; nonlinear modulation; order tracking; variable-frequency drive; variational optimization;
D O I
10.19650/j.cnki.cjsi.J2210466
中图分类号
学科分类号
摘要
Vibration signals of rotating machinery driven by the variable-frequency converter have the characteristics of complex modulation components, wide frequency bands involved, and serious noise interference. It is difficult to extract the mono-component modulation components related to faults. To address these issues, a new variational nonlinear single chirp mode extraction (VNSCME) method is proposed, which formulates a variational optimization model with the combination constraints of the narrowest demodulation frequency band of a single target mode and the minimum energy of the residual component. A specific mono-component nonlinear modulation component is extracted by iteration. By being preset a priori knowledge about the instantaneous frequency of the target mode, VNSCME can independently extract the specific mono-component modulation component and accurately estimate its instantaneous frequency. Compared with the existing researches, VNSCME has advantages of without the resolution limitation of time-frequency distribution, simple initialization and high computational efficiency. The combination of VNSCME and order tracking is applied to the bearing fault diagnosis of the motor driven by variable-frequency converter. The simulated and measured fault vibration signals are processed respectively, and the results indicate that the relative error of instantaneous rotating frequency estimation is less than 0. 76%, and the calculation time for extracting a single target mode is less than 11. 9 s, verifying the effectiveness of the proposed method. © 2023 Science Press. All rights reserved.
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页码:266 / 277
页数:11
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