Fault Diagnosis of Power Electronic Circuit Based on Random Forests Algorithm and AR Model

This paper presents a novel method of applying auto-regressive(AR) model and random forests to fault diagnosis of power electronic circuit. AR model is used to extract the features of the sample data, realize optimum compressed of fault sample data, simplify the data structure in fault diagnosis, enhance classify speed and precision. By simulating fault status of power electronic circuit, this paper investigates design details of random forests classifier and evaluates its performance. Experimental results show that the method is feasible and effective.