Investigation of fuzzy criterion for fault feature parameter evaluation of electric power equipment
Autor: | Xie Yanying, Wen Yuanfang, Zhou Shizhu, Yan Xianglian, Liu Chun, Li Guiping |
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Rok vydání: | 2002 |
Předmět: |
Engineering
Mathematics::General Mathematics Energy management business.industry Fuzzy set Fault (power engineering) Fuzzy logic Reliability engineering ComputingMethodologies_PATTERNRECOGNITION Feature (computer vision) Pattern recognition (psychology) ComputingMethodologies_GENERAL business Cluster analysis Selection (genetic algorithm) |
Zdroj: | Proceedings of 2001 International Symposium on Electrical Insulating Materials (ISEIM 2001). 2001 Asian Conference on Electrical Insulating Diagnosis (ACEID 2001). 33rd Symposium on Electrical and Electronic Insulating Materials and Applications in System. |
Popis: | 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. |
Databáze: | OpenAIRE |
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