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

Feng Rong Bi; Zhen Song

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

Paper Titles

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Multiple Reference Impact Testing for Bridge Assessment with Drop Hammer
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An Independent Component Analysis Based Defect Detection for the OLED Display
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Fault Diagnosis of Valve Train of Internal Combustion Engine Based on the Artificial Neural Network and Support Vector Machine
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High Order Spectrum Characteristics of the Elevator Fault
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Field Test of Wellbore Anti-Collision Monitoring System
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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 605-607Fault Diagnosis of Valve Train of Internal...

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

Abstract:

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.