Application of Vold-Kalman filter and higher order energy separation to fault diagnosis of planetary gearbox under time-varying conditions

被引：2
作者：
Qin, Si-Feng [1 ]
Feng, Zhi-Peng [1 ]
Liang, Ming [2 ]
机构：
[1] School of Mechanical Engineering, University of Science and Technology Beijing, Beijing
[2] Department of Mechanical Engineering, University of Ottawa, Ottawa
来源：
Zhendong Gongcheng Xuebao/Journal of Vibration Engineering | 2015年 / 28卷 / 05期
关键词：
Fault diagnosis; Higher order energy separation; Planetary gearbox; Time-frequency analysis; Vold-Kalman filter;
D O I：
10.16385/j.cnki.issn.1004-4523.2015.05.020
中图分类号：
学科分类号：
摘要：
The vibration signals of planetary gearboxes under nonstationary running conditions have significant time-varying modulation feature. Conventional spectral analysis methods are unable to identify the gear fault characteristic frequencies from such nonstationary signals. A method based on Vold-Kalman filter and higher order energy separation is proposed to analyze the vibration signals of planetary gearboxes under nonstationary conditions in time-frequency domain, thus to identify the time-varying characteristic frequencies and diagnose the gear faults. The time-frequency representation derived from Vold-Kalman filter and higher order energy separation provides nice time-frequency resolution and is free from cross term interference, and thus it can effectively pinpoint the time-varying constituent frequency components of nonstationary signals. The proposed method is validated with analysis of lab experimental signals of a planetary gearbox under time-varying running conditions. © 2015, Nanjing University of Aeronautics an Astronautics. All right reserved.
引用
收藏
页码：839 / 845
页数：6
相关论文
共 17 条
  • [1] Lei Y., He Z., Lin J., Et al., Research advances of fault diagnosis technique for planetary gearboxes, Journal of Mechanical Engineering, 47, 19, pp. 59-67, (2011)
  • [2] Lei Y., Lin J., Zuo M.J., Et al., Condition monitoring and fault diagnosis of planetary gearboxes: A review, Measurement, 48, pp. 292-305, (2014)
  • [3] Williams W.J., Zalubas E.J., Helicopter transmission fault detection via time-frequency, scale and spectral methods, Mechanical Systems and Signal Processing, 14, 4, pp. 545-559, (2000)
  • [4] Bartelmus W., Zimroz R., Vibration condition monitoring of planetary gearbox under varying external load, Mechanical Systems and Signal Processing, 23, pp. 246-257, (2009)
  • [5] Bartelmus W., Zimroz R., A new feature for monitoring the condition of gearboxes in non-stationary operation conditions, Mechanical Systems and Signal Processing, 23, pp. 1528-1534, (2009)
  • [6] Feng Z., Fan Y., Liang M., Et al., A nonstationary vibration signal analysis method for fault diagnosis of planetary gearboxes, Proceedings of the CSEE, 33, 17, pp. 105-110, (2013)
  • [7] Feng Z., Liang M., Chu F., Recent advances in time-frequency analysis methods for machinery fault diagnosis: A review with application examples, Mechanical Systems and Signal Processing, 38, pp. 165-205, (2013)
  • [8] Kaiser J.F., On a simple algorithm to calculate the 'energy' of a signal, Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing, 1, pp. 381-384, (1990)
  • [9] Maragos P., Kaiser J.F., Quatieri T.F., Energy separation in signal modulations with application to speech analysis, IEEE Transactions on Signal Processing, 41, 10, pp. 3024-3051, (1993)
  • [10] Maragos P., Potamianos A., Higher order differential energy operators, IEEE Signal Processing, 2, 8, pp. 152-154, (1995)
12