Fault diagnosis of electric power systems based on fuzzy reasoning spiking neural p systems

IEEE Transactions on Power Systems

Volumn 30, Issue 3, 2015, Pages 1182-1194

  Wang, Tao ^a   Zhang, Gexiang ^c   Zhao, Junbo ^a   He, Zhengyou ^b   Wang, Jun ^a   Perez Jimenez, Mario J ^a  

^a SOUTHWEST JIAOTONG UNIVERSITY   (China)

^b XIHUA UNIVERSITY   (China)

^c UNIVERSITY OF SEVILLE   (Spain)

Author keywords

Electric power system; fault diagnosis; fuzzy production rules; fuzzy reasoning; fuzzy reasoning spiking neural P system; linguistic term; trapezoidal fuzzy number

Indexed keywords

ELECTRIC FAULT CURRENTS; ELECTRIC POWER SYSTEMS; FAILURE ANALYSIS; FUZZY INFERENCE; FUZZY NEURAL NETWORKS; FUZZY RULES; FUZZY SETS; FUZZY SYSTEMS; LINGUISTICS; POWER TRANSMISSION;

FUZZY PRODUCTION RULES; FUZZY REASONING; LINGUISTIC TERMS; SPIKING NEURAL P SYSTEMS; TRAPEZOIDAL FUZZY NUMBERS;

FAULT DETECTION;

EID: 85027934543     PISSN: 08858950     EISSN: None     Source Type: Journal    
DOI: 10.1109/TPWRS.2014.2347699     Document Type: Article

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