Title :
Investigation of fuzzy criterion for fault feature parameter evaluation of electric power equipment
Author :
Yuanfang, Wen ; Xianglian, Yan ; Chun, LIU ; ShiZhu, Zhou ; GuiPing, Li ; Yanying, Xie
Author_Institution :
Dept. of Electr. & Electron. Eng., Huazhong Univ. of Sci. & Technol., Wuhan, China
Abstract :
This paper studies the selection and evaluation for fault feature parameters of electric power equipment. Based on the fuzzy set theory, fuzzy criterion and fuzzy constellation clustering index for fault diagnostic parameters validity of electric power equipment is presented, and the validation of the fuzzy analytical method is described in the paper by an example
Keywords :
fault diagnosis; fuzzy set theory; insulation testing; pattern recognition; power apparatus; electric power equipment; fault diagnostic parameters validity; fault feature parameter evaluation; fault feature parameters; fuzzy constellation clustering index; fuzzy criterion; fuzzy set theory; insulation detection; Clustering methods; Cost accounting; Electrical fault detection; Energy management; Engineering management; Fault diagnosis; Fuzzy set theory; Fuzzy sets; Pattern recognition; Power engineering and energy;
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.2001.973617
