基于EMD-WVD与LNMF的内燃机故障诊断

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Abstract The IC engine vibration signals are complex non-stationary signals, therefore, that how to accurately extract the feature information of the IC engine vibration signal for pattern recognition is very important for fault di-agnosis of an IC engine. The frequency analysis method of empirical mode decomposition and Wigner-Ville is used for IC engine vibration signal in this paper. The method of EMD-WVD is not only to avoid interference cross-terms, but also retains all the excellent characteristics of Wigner-Ville distribution. And a new method of local non-negative matrix factorization is directly used for feature extraction, because of the traditional NMF non-orthogonal basis matrix result in data redundancy is large, and it is not conducive to subsequent recognition rate of issue. The application to the practical internal combustion fault diagnosis has revealed that the LNMF algorithm classification accuracy is bet-ter than traditional NMF algorithm.

Key words： IC engine；fault diagnosis；time-frequency distribution；feature extraction；Local nonnegative matrix factorization（LNMF）

Received: 01 September 2015 Published: 25 November 2016

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	Articles by authors
	MU Wei-jie
	SHI Lin-suo
	CAI Yan-ping
	LIU Hao
	JIN Guang-zhi

Cite this article:

MU Wei-jie,SHI Lin-suo,CAI Yan-ping, et al. IC Engine Fault Diagnosis Method Based EMD-WVD and LNMF[J]. JOURNAL OF VIBRATION AND SHOCK, 2016, 35(23): 191-196.

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http://jvs.sjtu.edu.cn/EN/ OR http://jvs.sjtu.edu.cn/EN/Y2016/V35/I23/191

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