Simulation Study on Fault Diagnosis of Power Electronic Circuits Based on Wavelet Packet Analysis and Support Vector Machine

• Main Authors: Hongyan Sun, Lan Zhang
• Format: Article
• Language: English
• Published: ESRGroups 2018-12-01
• Series: Journal of Electrical Systems
• Subjects: power electronic circuits; wavelet packet transform; support vector machine; feature extraction; fault diagnosis.
• Online Access: https://journal.esrgroups.org/jes/papers/14_4_2.pdf
• ISSN: 1112-5209; 1112-5209

With the development of power electronic technology, power electronic equipment is becoming more and more complex, and the fault problems are becoming increasingly prominent. Fault diagnosis of power electronic equipment can find out and solve the fault problems in time and ensure the safe operation of the equipment. In this study, a fault diagnosis method based on wavelet packet analysis and support vector machine was proposed. Firstly, the wavelet packet transform was used to decompose and denoise the signal, and the original fault feature vector was extracted for reconstruction. The improved support vector machine algorithm was used to diagnose the fault based on the new fault feature vector. The three-phase rectifier circuit was taken as an example to make stimulation experiments, and it was found that the method had 95% accuracy, which proved that the method had high accuracy and application value in fault diagnosis of power electronic circuits.