测控技术2017，Vol.36Issue(5)：9-12,20,5.
基于梯度提升决策树的电力电子电路故障诊断
Fault Diagnosis of Power Electronics Circuit Based on Gradient Boosting Decision Tree
摘要
Abstract
In order to eliminite the common faults of power electronics circuit,a fault diagnosis method of power electronic circuit is proposed,which is based on the principal component analysis(PCA) for extracting the faulty circuit information feature and the gradient boosting decision tree (GBDT) for classifying.Firstly,the steps of feature extraction using PCA and the classification principle of GBDT are discussed.Then the fault diagnosis process based on PCA and GBDT is studied.Finally,a three-phase full-bridge rectifier is used to model,simulate and verify the proposed method.The results show that this method can achieve a higher diagnosis accuracy and a better generalization capability than other methods.关键词
电力电子电路/故障诊断/PCA/梯度提升决策树Key words
power electronics circuit/fault diagnosis/PCA/gradient boosting decision tree分类
信息技术与安全科学引用本文复制引用
陈宏,邓芳明,吴翔,付智辉..基于梯度提升决策树的电力电子电路故障诊断[J].测控技术,2017,36(5):9-12,20,5.基金项目
国家自然科学基金项目(51577046) （51577046）
江西省科技支撑计划项目(20161BBE50076) （20161BBE50076）
