Equipment fault diagnosis algorithm of SVM based on GA

To solve the problem of equipment fault diagnosis, the paper proposes a fault diagnosis model based on Support Vector Machines (SVM) and studies the parameters that influence model accuracy. On the basis of analyzing model parameters influence, A new kind of evaluation function about algorithm accuracy and the Genetic algorithm of the global optimization parameters selection are presented. According to the sample training and examining, experiment results show this Support vector machine model based on the Genetic algorithm can not only fast obtain the global optimization parameters but also improve the fault diagnosis accuracy.