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

被引:0
|
作者
Sun, Hongyan [1 ]
Zhang, Lan [2 ]
机构
[1] Heze Univ, Daxue St 2269, Heze 274015, Shandong, Peoples R China
[2] Inner Mongolia Univ Finance & Econ, Hohhot 010010, Inner Mongolia, Peoples R China
关键词
Power electronic circuits; wavelet packet transform; support vector machine; feature extraction; fault diagnosis;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
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.
引用
收藏
页码:21 / 33
页数:13
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