Fault Diagnosis in Medium Voltage Drive Based on Combination of Wavelet Transform and Support Vector Machine
Abstract: Nowadays, Medium
Voltage Drive (MVD) has been widely applied in the field of high-powered motor
speed-regulation. These types of converter use a lot of insulated gate bipolar
translators (IGBTs). So it is very important to find an effective way to
diagnose IGBT open-circuit faults. This study describes a method of diagnosis
for IGBT open-circuit faults in MVD whose topology is cell series of
multi-level. This method combines wavelet transform (WT) and support vector
machine (SVM). The wavelet transform is used to extract fault features and SVM
is used to classify the fault states of a single power unit. Then, the trained
SVM classifier is used to scan all power units of MVD sequentially. Results of
simulation on the platform of MATLAB/Simulink show that this method has a good
diagnosis capability. It can diagnose the IGBT open-circuit faults of the whole
inverter system, and diagnosis accuracy is up to 96%. So, this method has a
good application prospect.
Keywords: Insulated gate
bipolar transistors, multilevel systems, Support vector machines, Wavelet transforms
Author: Xudong Cao, Shaozhe
Zhou, Jingze Li, Shaohua Zhang
Journal Code: jptkomputergg160137
