Fault Diagnosis Method of BUCK Circuit Based on SVM Optimization
As an important part of the power converter,the failure of the core power converter will directly affect the safe operation of the circuit.Therefore,this paper designs the accelerated degradation experiment of core power devices,and the electrolytic capacitor and SiC MOSFET power tube with the most serious degradation degree in the accelerated degradation experiment are adopted to represent the soft fault devices of DC-DC converter.Five working conditions are set to collect four circuit signals under each working condition.Relief algorithm is used to optimize the 48-dimensional features,particle swarm algorithm is applied to optimally support vector machine(PSO-SVM)for fault classification,and comparison by SVM and KNN classification algorithm is conducted,which verifies the superiority of the proposed method.The experimental results show that the PSO-SVM fault diagnosis method can obtain higher fault diagnosis rate.
power converterSiC MOSFET power tubeaccelerated degradation testPSO-SVM
国家科技期刊平台
NSTL
万方数据
