Multiple Fault Diagnosis for Three-level Inverter Via Wavelet Analysis and Support Vector Machine

被引：0

作者：

Jin, Lin-qiang ^{[1
]}

Chen, Fu-yang ^{[1
]}

Tang, Chun-ping ^{[1
]}

Jiang, Bin ^{[1
]}

机构：

[1] Nanjing Univ Aeronaut & Astronaut, Coll Automat Engn, Nanjing, Jiangsu, Peoples R China

来源：

INTERNATIONAL CONFERENCE ON CONTROL AND AUTOMATION (ICCA 2016) | 2016年

关键词：

Multiple Fault; Wavelet Analysis; SVM; Fault Diagnosis; Three-level Inverter;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Inverter is an important part in the locomotive traction system. In this paper a fault diagnosis method of three-level NPC inverter with two IGBT failures concurrently in different bridges was introduced. With the Simulink toolbox in Matlab, We obtained the output voltages' difference between faulty and fault-free cases, get Delta Ua, Delta Ub, Delta Uc, d-q transformation on Delta Ua, Delta Ub, Delta Uc, put three-phase into two-phase, Ud and Uq. Making use of wavelet analysis to process Ud and Uq, extracted the fault feature and construct the feature vector. The samples which contain the fault information were accessed finally. With the LIBSVM toolbox, the multi-fault classifiers were established. Finally, the simulation samples were trained and tested. Experimental results showed that the classification result was fine and achieved the desired objective.

引用

页码：275 / 280

页数：6