A time-frequency analysis method suitable for engine vibration signals

被引：0

作者：

Jia J. ^{[1
]}

Wu C. ^{[2
]}

Jia X. ^{[2
]}

Ren G. ^{[2
]}

Han J. ^{[2
]}

机构：

[1] Department of Automobile Engineering, Military Transportation University, Tianjin

[2] Postgraduate Training Brigade, Military Transportation University, Tianjing

来源：

Qiche Gongcheng/Automotive Engineering | 2017年 / 39卷 / 01期

关键词：

Engine; Feature extraction; Synchrosqueezing wavelet transform; Time-frequency analysis; Vibration signals;

D O I：

10.19562/j.chinasae.qcgc.2017.01.016

中图分类号：

学科分类号：

摘要：

A new time-frequency analysis method-synchrosqueezing wavelet transform (SWT) is studied in this paper. Firstly for checking its suitability for engine vibration signals, multi-component, AM-FM simulation signals are set up and analyzed by SWT. Then SWT is compared with other time-frequency analysis methods in terms of resolution and capabilities of signal decomposition and reconstruction. Finally, with an engine as an example, its vibration signals in transient conditions are analyzed and the changing rule of connecting rod bearing wear signals is revealed with fault features extracted. The results show that SWT is an appropriate time-frequency analysis method suitable for engine state monitoring and fault diagnosis. © 2017, Society of Automotive Engineers of China. All right reserved.

引用

页码：97 / 101

页数：4

共 6 条

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