Title :
State signal and fuzzy membership function of fault diagnosis in electrical equipment
Author :
Yuanfang, Wen ; Chun, LIU ; Xianglian, Yan ; Chunyan, ZANG ; Chi, Tang ; Yuelong, Liang
Author_Institution :
Dept. of Electr. & Electron. Eng., Huazhong Univ. of Sci. & Technol., Wuhan, China
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
Keywords :
eigenvalues and eigenfunctions; fault diagnosis; fuzzy set theory; power apparatus; signal processing; eigenvalue extraction; electrical power equipment; fault diagnosis; fuzzy mathematics; fuzzy membership functions; state signal processing; Energy management; Engineering management; Fault diagnosis; Fuzzy sets; Fuzzy systems; Mathematics; Monitoring; Power engineering and energy; Signal analysis; Signal processing;
Conference_Titel :
Electrical Insulating Materials, 2001. (ISEIM 2001). Proceedings of 2001 International Symposium on
Conference_Location :
Himeji
Print_ISBN :
4-88686-053-2
DOI :
10.1109/ISEIM.2001.973618
