Fault Diagnosis of Valve Train of Internal Combustion Engine based on the Artificial Neural Network and Support Vector Machine

被引：1

作者：

Bi Fengrong ^{[1
]}

Song Zhen ^{[1
]}

机构：

[1] Tianjin Univ, Coll Mech Engn, Tianjin 300072, Peoples R China

来源：

ADVANCED DESIGNS AND RESEARCHES FOR MANUFACTURING, PTS 1-3 | 2013年 / 605-607卷

关键词：

valve train; artificial neural network; support vector machine; fault diagnosis;

D O I：

10.4028/www.scientific.net/AMR.605-607.729

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

The theory of artificial neural network and support vector machine has been introduced. According to the characteristics of vibration signal for the valve mechanism, fault diagnosis has been proposed for abnormal valve clearance based on artificial neural network (ANN) and support vector machine (SVM). Two kinds of intelligent technology have been compared in fault identification by changing the number of training samples. The diagnosis has indicated that at small number of training samples SVM has high generalization ability, and at large number of training samples, ANN has exact recognition when it comes to diagnosing valve train.

引用

页码：729 / 733

页数：5

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