Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/81679
Title: Power system fault diagnosis using fuzzy sets for uncertainties processing
Authors: Chang, C.S. 
Chen, J.M.
Liew, A.C. 
Srinivasan, D. 
Wen, F.S. 
Issue Date: 1996
Source: Chang, C.S.,Chen, J.M.,Liew, A.C.,Srinivasan, D.,Wen, F.S. (1996). Power system fault diagnosis using fuzzy sets for uncertainties processing. Proceedings of the International Conference on Intelligent Systems Applications to Power Systems, ISAP : 333-338. ScholarBank@NUS Repository.
Abstract: Great emphasis has been put in applying the expert systems for transmission system fault diagnosis. However, very few papers deal with the unavoidable uncertainties which occur during operation involving the fault location and other available information. This paper proposes a method using fuzzy sets to cope with such uncertainties. A fuzzy expert system is developed, which requires much less memory space to store active databases than those used by conventional expert systems. The fuzzy expert system identifies two basic data sets, Sfault and Sno-fault, using status of the operated and maloperated circuit breakers and relays. It then conducts inference to determine the most likely faulty components and the associated faulty component sequences. Two case studies are given in the paper to demonstrate salient features of the proposed approach.
Source Title: Proceedings of the International Conference on Intelligent Systems Applications to Power Systems, ISAP
URI: http://scholarbank.nus.edu.sg/handle/10635/81679
Appears in Collections:Staff Publications

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