期刊
INTERNATIONAL JOURNAL OF COMPUTERS COMMUNICATIONS & CONTROL
卷 9, 期 6, 页码 786-799出版社
CCC PUBL-AGORA UNIV
DOI: 10.15837/ijccc.2014.6.1485
关键词
fuzzy reasoning spiking neural P system with trapezoidal fuzzy number; fuzzy reasoning; fault diagnosis; trapezoidal fuzzy number; linguistic term
资金
- National Natural Science Foundation of China [61170016, 61373047, 61170030]
- Program for New Century Excellent Talents in University [NCET-11-0715]
- SWJTU [SWJTU12CX008]
This paper discusses the application of fuzzy reasoning spiking neural P systems with trapezoidal fuzzy numbers (tFRSN P systems) to fault diagnosis of power systems, where a matrix-based fuzzy reasoning algorithm based on the dynamic firing mechanism of neurons is used to develop the inference ability of tFRSN P systems from classical reasoning to fuzzy reasoning. Some case studies show the effectiveness of the presented method. We also briefly draw comparisons between the presented method and several main fault diagnosis approaches from the perspectives of knowledge representation and inference process.
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