Title :
Fault prediction of power electronic circuits based on multi-scale relevance vector machine
Author :
Zhang Yongliang ; Li Guolin ; Xie Xin
Author_Institution :
Naval Aeronaut. & Astronaut. Univ., Yantai, China
Abstract :
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.
Keywords :
electronic engineering computing; genetic algorithms; power electronics; support vector machines; GA; MSRVM; buck converter circuit; fault prediction; genetic algorithm; kernel parameters; multiscale relevance vector machine; power electronic circuits; Abstracts; Indexes; Integrated circuits; Kernel; Positron emission tomography; Prediction methods; Vectors; GA; MSRVM; fault prediction; kernel parameters optimization; power electronic circuits;
Conference_Titel :
Signal Processing (ICSP), 2014 12th International Conference on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4799-2188-1
DOI :
10.1109/ICOSP.2014.7015403
