Diesel engine fault diagnosis and classification

被引:0
|
作者
Shi Xiaochun [1 ]
Hu Hongying [2 ]
机构
[1] Dalian Jiaotong Univ, Dept Engn Mech, Dalian 116028, Peoples R China
[2] Dalian Jiaotong Univ, Dept Elect Engn, Dalian 116028, Peoples R China
关键词
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Vibration signal of Diesel engine fault is nonstationary and nonlinear It is very difficult to analyze. Distinguishing diesel faults and classifying them is more difficult. In this paper we use a new method 'Wigner Trispectrum(WT)' to describe the characteristics of vibration signals got from diesel engine. WT of signals can characterize each fault. Then WT of signals as fault features are input into Least Squares Support Vector Machines (LS-SVH) to classify faults. Finally different faults can be distinguished correctly. Application indicates that the method described in the paper is a good way in analysis and classification of diesel engine faults.
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页码:311 / +
页数:2
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