Coupled modulated vibration signal component separation and fault diagnosis of planetary gearbox

被引：0
|
作者：
Chen W. [1 ]
Wang Y. [1 ]
Sun C. [1 ]
Sun Q. [1 ]
Wang J. [1 ]
机构：
[1] College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing
来源：
Wang, Youren (wangyrac@nuaa.edu.cn) | 2018年 / Beijing University of Aeronautics and Astronautics (BUAA)卷 / 33期
关键词：
Coupled modulation; Fault diagnosis; Majorization-minimization; Planetary gearbox; Total variation model;
D O I：
10.13224/j.cnki.jasp.2018.05.011
中图分类号：
学科分类号：
摘要：
Aiming at the status that planetary gearbox vibration signal is usually appeared as coupling problem of steady state modulation component and shock modulation component under fault condition, different solution models have been established and a new method for the separation of coupled modulated vibration signals has been proposed. Shock modulated component separation was realized by the application of sparse total variation model, using an improved asymmetric penalty function, according to a strategy of coefficient of kurtosis and selection of regularization parameters based on mean square index, using majorization-minimization (MM) to solve the model. Steady state component separation was achieved by using base tracking. Simulation and experimental results verify the effectiveness of the proposed method for the separation and separation of vibration signals of planetary gearbox in a strong noise environment. The results of experimental show that this method can quickly isolate the weak shock modulation components under the noise D of 0.15. The algorithm has fewer iteration times and better convergence effect. © 2018, Editorial Department of Journal of Aerospace Power. All right reserved.
引用
收藏
页码：1112 / 1120
页数：8
相关论文
共 18 条
  • [1] Yip L., Analysis and modeling of planetary gearbox vibration data for early fault detection, (2011)
  • [2] Hood A.A., Fault detection on a full-scale OH-58 AC helicopter transmission, (2010)
  • [3] Feng Z., Zhao L., Chu F., Vibrationspectral characteristics of localized gear fault of planetary gearboxes, Proceedings of the CSEE, 33, 2, pp. 118-125, (2013)
  • [4] He G., Ding K., Lin H., Matching pursuit method for coupling modulation signal separation of gearbox vibration, Journal of Mechanical Engineering, 52, 1, pp. 102-108, (2016)
  • [5] Liu L., Liang X., Zuo M.J., Vibration signal modeling of a planetary gear set with transmission path effect analysis, Measurement, 85, 1, pp. 20-31, (2016)
  • [6] Li H., Zhou Y., Et al., Wavelet-based vibration signal de-noising algorithm with a new adaptive threshold function, Chinese Journal of Scientific Instrument, 36, 10, pp. 2200-2206, (2015)
  • [7] Mariyappa N., Sengottuvel S., Patel R., Et al., Denoising of multichannel MCG data by the combination of EEMD and ICA and its effect on the pseudo current density maps, Biomedical Signal Processing and Control, 18, pp. 204-213, (2015)
  • [8] Wang H., Chen J., Dong G., Fault diagnosis of rolling bearing's early weak fault based on minimum entropy de-convolution and fast Kurtogram algorithm, Journal of Mechanical Engineering Science 1989-1996 (Vol 203-210), 229, 16, pp. 2890-2907, (2015)
  • [9] Barszcz T., Randall R.B., Application of spectral kurtosis for detection of a tooth crack in the planetary gear of a wind turbine, Mechanical Systems and Signal Processing, 23, 4, pp. 1352-1365, (2009)
  • [10] Lei Y., Han D., Lin J., Et al., Planetary gearbox fault diagnosis using an adaptive stochastic resonance method, Mechanical Systems and Signal Processing, 38, 1, pp. 113-124, (2013)
12