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
来源：
Zhendong Gongcheng Xuebao/Journal of Vibration Engineering | 2021年 / 34卷 / 02期
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
  • [11] FENG Zhipeng, CHU Fulei, Frequency Demodulation Analysis Method for Fault Diagnosis of Planetary Gearboxes, Proceedings of the CSEE, 33, 11, pp. 112-117, (2013)
  • [12] Djebala A, Ouelaa N, Benchaabane C, Et al., Application of the wavelet multi-resolution analysis and Hilbert transform for the prediction of gear tooth defects, Meccanica, 47, 7, pp. 1601-1612, (2012)
  • [13] Fan X, Zuo M., Gearbox fault detection using Hilbert and wavelet packet transform, Mechanical Systems and Signal Processing, 20, 4, pp. 966-982, (2006)
  • [14] Ma J, Li C J., Gear defect detection through model-based wideband demodulation of vibrations, Mechanical Systems and Signal Processing, 10, 5, pp. 653-665, (1996)
  • [15] He G, Ding K, Li W, Et al., A novel order tracking method for wind turbine planetary gearbox vibration analysis based on discrete spectrum correction technique, Renewable Energy, 87, pp. 364-375, (2016)
  • [16] DING Kang, XIE Ming, YANG Zhijian, Theory and Technology of Discrete Spectrum Analysis Correction, pp. 101-104, (2008)
  • [17] Coleman T F, Li Y., An interior trust region approach for nonlinear minimization subject to bounds, SIAM Journal on Optimization, 6, 2, pp. 418-445, (1996)
  • [18] Yang X, Ding K, He G., Phenomenon-model-based AM-FM vibration mechanism of faulty spur gear, Mechanical Systems and Signal Processing, 134, (2019)
12