A Fault Diagnosis Method for Power Electronic Circuits Based on Wavelet Transformation and Rough Set
Wang Zhi-hon · Electrical Automation · 2015
For a quick and effective diagnosis of faults in power electronic circuits,this paper presents a new approach combining wavelet transformation with rough set,wherein the wavelet transformation decomposes the output voltage signal so as to extract information about fault characteristics. Condition attribute set and decision attribute set are created on that basis,the data mining ability of the rough set is used to remove redundant condition attributes,and rules for fault diagnosis are extracted after reduction. Finally,through mathematic modeling and data processing,the simulation result verifies the quickness and effectiveness of the new approach.