State signal and fuzzy membership function of fault diagnosis in electrical equipment

Abstract

It is an effective approach to combine state signal processing with fuzzy mathematics for recognizing fuzziness and randomness clearly. This paper shows how the fuzzy membership functions are obtained from results of signal processing of fault diagnosis in electrical equipment. Hence the properties of electrical equipment are revealed more thoroughly. Finally, this method is proved to be effective by an example.