A separation method of faulty gear vibration AM-FM signal

被引:0
|
作者
Yang X.-Q. [1 ]
Ding K. [1 ]
He G.-L. [1 ]
机构
[1] School of Mechanical and Automotive Engineering, South China University of Technology, Guangzhou
关键词
Discrete spectrum correction; Fault diagnosis; Frequency demodulation; Modulation separation; Squared amplitude demodulation;
D O I
10.16385/j.cnki.issn.1004-4523.2021.02.019
中图分类号
学科分类号
摘要
The vibration signal of faulty gears simultaneously includes amplitude modulation (AM) and frequency modulation (FM) components. Based on the mathematic modulation model of fault gears, square amplitude demodulation and the frequency demodulation according to the relation of FM with the Bessel function of the first kind are respectively used to establish system of nonlinear equations about AM and FM parameters. Least-square optimization algorithm is then applied to solve these parameters. An accurate separation method of AM and FM is proposed, where discrete spectrum correction technique is employed to improve the correctness. Simulation results show that this method possesses high accuracy and strong immunity from interference, and is superior to Hilbert demodulation and the demodulation based on the energy operator in accuracy. Experimental analyses demonstrate modulation signals separated from different gear faults have obvious features and differences, which provides a diagnosis method for fault gearbox. © 2021, Editorial Board of Journal of Vibration Engineering. All right reserved.
引用
收藏
页码:379 / 388
页数:9
相关论文
共 18 条
  • [1] DING Kang, LI Weihua, ZHU Xiaoyong, Practical Techniques for Fault Diagnosis of Gears and Gearboxes, (2005)
  • [2] Li Y, Ding K, He G, Et al., Vibration mechanisms of spur gear pair in healthy and fault states, Mechanical Systems and Signal Processing, 81, pp. 183-201, (2016)
  • [3] ZHENG Jinde, PAN Haiyang, YANG Shubao, Et al., Generalized variational mode decomposition and its applications to gearbox fault diagnosis under variable conditions, Journal of Vibration Engineering, 30, 3, pp. 502-509, (2017)
  • [4] Teng W, Ding X, Zhang X, Et al., Multi-fault detection and failure analysis of wind turbine gearbox using complex wavelet transform, Renewable Energy, 93, pp. 591-598, (2016)
  • [5] He G, Ding K, Lin H., Gearbox coupling modulation separation method based on match pursuit and correlation filtering, Mechanical Systems and Signal Processing, 66, pp. 597-611, (2016)
  • [6] Yang X, Ding K, He G, Et al., Double-dictionary signal decomposition method based on split augmented Lagrangian shrinkage algorithm and its application in gearbox hybrid faults diagnosis, Journal of Sound and Vibration, 432, pp. 484-501, (2018)
  • [7] ZHANG Wenyi, YU Dejie, CHEN Xiangmin, Energy operator demodulation fault diagnosis of gearbox, Journal of Vibration Engineering, 28, 1, pp. 148-155, (2015)
  • [8] CHEN Xiangmin, YU Dejie, LI Rong, A compound faults diagnosis method for variational speed gearbox based on order tracking demodulation spectrum, Journal of Vibration Engineering, 26, 6, pp. 951-959, (2013)
  • [9] Qin Y., Multicomponent AM-FM demodulation based on energy separation and adaptive filtering, Mechanical Systems and Signal Processing, 38, 2, pp. 440-459, (2013)
  • [10] Feng Z, Lin X, Zuo M J., Joint amplitude and frequency demodulation analysis based on intrinsic time-scale decomposition for planetary gearbox fault diagnosis, Mechanical Systems and Signal Processing, 72, pp. 223-240, (2016)