Fault Diagnosis for Diesel Engine Cylinder Head Based on Genetic-SVM Classifier

Abstract:

Fault diagnosis of Diesel engine cylinder head is very complex, so it is difficult to use the mathematical model to describe their faults. In this study, support vector machine trained by genetic algorithm based on high frequency demodulation analysis is proposed to fault diagnosis of Diesel engine cylinder head. Genetic algorithm is used to determine training parameters of support vector machine in this model, which can optimize the support vector machine (SVM) an intelligent diagnostic model. The performance of the GSVM system proposed in this study is evaluated by Diesel engine cylinder head in the wood-wool production device. The application to fault diagnosis for diesel engine shows the effectiveness o f the method.

• Periodical: Applied Mechanics and Materials (Volume 590)
• Pages: 390-393
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.590.390
• Online since: June 2014
• Authors: Xue Liang Zhang, Yun Jie Xu
• Keywords: Diesel Engine Cylinder Head, Fault Diagnosis, Genetic-Support Vector Machine

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