Comparison of Adaptive Decomposition Methods for Diesel Engine Vibration Signals

被引：0

作者：

Jia J. ^{[1
]}

Ren G. ^{[2
]}

Jia X. ^{[2
]}

Han J. ^{[2
]}

机构：

[1] Military Vehicle Department, Army Military Transportation University, Tianjin

[2] Postgraduate Training Brigade, Army Military Transportation University, Tianjin

来源：

Qiche Gongcheng/Automotive Engineering | 2018年 / 40卷 / 10期

关键词：

Adaptive decomposition; Diesel engine; Fault diagnosis; Vibration signal; VMD;

D O I：

10.19562/j.chinasae.qcgc.2018.010.008

中图分类号：

学科分类号：

摘要：

Variational mode decomposition (VMD) is a new adaptive decomposition method. In order to check its suitability for diesel engine signals, a multi-component, AM-FM simulation signal is built with white noise added, which is then decomposed by using VMD and compared with other adaptive decomposition methods in terms of decomposition effects and the capability to suppress modal aliasing and endpoint effects. Then, the vibration signals of diesel engine under transient conditions are decomposed, the changing pattern of wear signals of crankshaft bearing is explored and fault features are extracted. Finally fault types are identified by using support vector machine, to further verify the effectiveness of the method adopted. The results show that VMD method is better than other adaptive decomposition methods in decomposition results and the capability to suppress modal aliasing and endpoint effects, suitable for the state monitoring and fault diagnosis of diesel engine. © 2018, Society of Automotive Engineers of China. All right reserved.

引用

页码：1172 / 1178

页数：6

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