Adaptive neuro-fuzzy inference system approach for simultaneous diagnosis of the type and location of faults in power transformers

IEEE Electrical Insulation Magazine

Volumn 28, Issue 5, 2012, Pages 32-42

  Hooshmand, Rahmat Allah ^a   Parastegari, Moein ^a   Forghani, Zohreh ^a  

^a UNIVERSITY OF ISFAHAN   (Iran)

Author keywords

adaptive neuro fuzzy inference system; dissolved gas analysis; fault diagnosisof transformers

Indexed keywords

ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM; DIAGNOSIS PERFORMANCE; DISSOLVED GAS; DISSOLVED GAS ANALYSIS; ELECTRICAL STRESS; FAULT TYPES; FUZZY INFERENCE SYSTEMS; FUZZY LOGIC METHOD; INPUT DATAS; INTELLIGENT ALGORITHMS; INTERNATIONAL ELECTROTECHNICAL COMMISSION; LOCATION OF FAULT; LOGIC RULES; NEURO-FUZZY NETWORK; TRAINING PATTERNS; TRANSFORMER FAULTS; WAVELET NETWORK;

ALGORITHMS; CARBON DIOXIDE; FUZZY LOGIC; FUZZY SYSTEMS; NEURAL NETWORKS; OIL FILLED TRANSFORMERS; POWER TRANSFORMERS; STANDARDS; TENSILE TESTING;

FAULT DETECTION;

EID: 84865442863     PISSN: 08837554     EISSN: None     Source Type: Journal    
DOI: 10.1109/MEI.2012.6268440     Document Type: Article

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