The Valve Electric Actuator's Fault Diagnosis Method Based on Principle Component Analysis and Support Vector Machines

摘要

This paper, the mechanism of valve electric actuator failures is analyzed, and the fault diagnosis method based on principle component analysis (PCA) and support vector machines (SVM) is put forward. In order to reduce the dimension of feature signals, the fault diagnosis method uses PCA to extract fault feature signals. And a multi-class Support Vector Machine classifier is constructed to develop the model of failure diagnosis. The model can identify and detect the actuator's constant gain fault, the constant deviation fault and the dead zone fault. The simulation experiment result verified its feasibility and validity.