Partial discharge pattern recognition using fuzzy-neural networks (FNNs) algorithm

Proceedings of the 2008 IEEE International Power Modulators and High Voltage Conference, PMHVC

Volumn , Issue , 2008, Pages 272-275

  Kim, Jeong Tae ^a   Choi, Won ^a   Oh, Sung Kwun ^b   Park, Keon Jun ^b   Grzybowski, Stanislaw ^c  

^a Daejin University   (South Korea)

^b Suwon University   (South Korea)

^c MISSISSIPPI STATE UNIVERSITY   (United States)

Author keywords

Dielectric degradation; Fuzzy neural network algorithm; Partial discharge; Pattern recognition; PRPDA

Indexed keywords

ALGORITHMS; ARTIFICIAL INTELLIGENCE; BACKPROPAGATION; BACKPROPAGATION ALGORITHMS; DC GENERATORS; DEGRADATION; FUZZY SETS; PARTIAL DISCHARGES; PATTERN RECOGNITION; VOLTAGE MEASUREMENT;

BACK PROPAGATION NEURAL NETWORKS; DEFECT MODELS; DIELECTRIC DEGRADATION; FUZZY NEURAL NETWORK ALGORITHM; FUZZY SET; FUZZY-NEURAL-NETWORK; PARTIAL DISCHARGE ANALYSIS; PARTIAL DISCHARGE PATTERN RECOGNITION; PATTERN RECOGNITION ALGORITHMS; PRPDA;

FUZZY NEURAL NETWORKS;

EID: 62949126126     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IPMC.2008.4743634     Document Type: Conference Paper

References (9)

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