Doppler distortion removal based on time-frequency amplitude matching method for fault diagnosis of train bearings acoustic signals

被引：0

作者：

Zhang S.-B. ^{[1
]}

Zhang H.-B. ^{[1
]}

Ouyang K.-S. ^{[1
]}

He Q.-B. ^{[1
]}

Kong F.-R. ^{[1
]}

机构：

[1] Department of Precision Machinery and Precision Instrumentation, University of Science and Technology of China, Hefei

来源：

Zhendong yu Chongji/Journal of Vibration and Shock | 2016年 / 35卷 / 14期

关键词：

Doppler distortion; Fault diagnosis; Time-frequency amplitude matching; Train bearings;

D O I：

10.13465/j.cnki.jvs.2016.14.016

中图分类号：

学科分类号：

摘要：

The Doppler frequency shift and extension phenomenon bring serious difficulty to the bearing fault identification and diagnosis. A Doppler correction method was proposed based on the time-frequency amplitude matching and applied to the bearing fault identification. On the basis of the Morse acoustic theory and short-time Fourier transform (STFT), the relationship between the time-frequency amplitude and center time was concluded. The optimal center time was acquired by the best matching between the theoretical and practical time-frequency amplitudes to establish resampling time series and remove the Doppler distortion. The effectiveness of the method was demonstrated by using simulated signals and experimental signals. © 2016, Editorial Office of Journal of Vibration and Shock. All right reserved.

引用

页码：101 / 106

页数：5

共 10 条

[1]

Firdausi D.I., Development and deployment of advanced wayside condition monitoring systems, Foreign Rolling Stock, 39, 2, pp. 39-43, (2002)

[2]

Florom R.L., Hiatt A.R., Bambara J.E., Et al., Wayside acoustic detection of railroad roller bearing defects, American Society of Mechanical Engineers Winter, (1987)

[3]

Yang D.G., Wang Z.T., Li B., Et al., Quantitative measurement of pass-by noise radiated by vehicles running at high speeds, Journal of Sound and Vibration, 330, 7, pp. 1352-1364, (2011)

[4]

Yiakopoulos C., Maczak J., Rodopoulos K., Et al., Multicomponent decomposition of a time-varying acoustic Doppler signal generated by a passing railway vehicle using complex shifted Morlet wavelets, Transportation Research Part C-Emerging Technologies, 44, pp. 34-51, (2014)

[5]

Dybala J., Radkowski S., Reduction of Doppler effect for the needs of wayside condition monitoring system of railway vehicles, Mechanical Systems and Signal Processing, 38, 1, pp. 125-136, (2013)

[6]

Zhang A., Hu F., He Q., Et al., Doppler shift removal based on instantaneous frequency estimation for wayside fault diagnosis of train bearings, Journal of Vibration and Acoustics, 136, 2, (2014)

[7]

Liu F., He Q., Shen C., Et al., A time domain correction method for Doppler-distortion signal from acoustic moving source, Chinese Journal of Acoustics, 1, pp. 32-41, (2014)

[8]

Zhang A., Hu F., Liu F., Et al., Intelligent fault diagnosis of train bearings acoustic signals with Doppler shift based on the EMD and BPN, Intelligent Control and Information Processing, 2013 Fourth International Conference on, pp. 69-73, (2013)

[9]

Liu F., Shen C., He Q., Et al., Doppler effect reduction scheme via acceleration-based Dopplerlet transform and resampling method for the wayside acoustic defective bearing detector system, Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, 228, 18, pp. 3356-3378, (2014)

[10]

Hu F., Shen C.Q., Liu F., Et al., Doppler shift elimination method based on instantaneous frequency estimation for the wayside acoustic signal, Applied Mechanics and Materials, 333, pp. 510-515, (2013)

← 1 →