FAULT PREDICTION OF POWER ELECTRONIC CIRCUITS BASED ON MULTI-SCALE RELEVANCE VECTOR MACHINE

被引：0
|
作者：
Zhang Yongliang [1 ]
Li Guolin [1 ]
Xie Xin [1 ]
机构：
[1] Naval Aeronaut & Astronaut Univ, Yantai, Peoples R China
来源：
2014 12TH INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING (ICSP) | 2014年
关键词：
power electronic circuits; fault prediction; MSRVM; kernel parameters optimization; GA;
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：
Aiming at the issue that fault prediction of power electronic circuits is not accurate enough, a method based on multi-scale relevance vector machine (MSRVM) is proposed. Then the kernel parameters are optimized by Genetic Algorithm (GA) to avoid the negative affect on the performance of MSRVM by the non-ideal ones. The feasibility and advantages of MSRVM are proved by the fault prediction of a Buck converter circuit.
引用
收藏
页码：2292 / 2297
页数：6
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