Power transformer fault type estimation using artificial neural network based on Dissolved Gas in oil Analysis

Engineering Intelligent Systems

Volumn 17, Issue 4, 2009, Pages 193-198

  Gunes, Ibrahim ^a   Gozutok, Abdulkadir ^b   Ucan, Osman Nuri ^a   Kiremitci, Baris ^a  

^a ISTANBUL UNIVERSITY   (Turkey)

^b Hamitabat Natural Gas Combined Cycle Power Plant   (Turkey)

Author keywords

Artificial neural network; Dissolved Gas in oil Analysis; Levenberg Marquardt; Transformer faults

Indexed keywords

ARTIFICIAL NEURAL NETWORK; AUTOMATED DIAGNOSTIC SYSTEMS; COMMONLY USED; DISSOLVED GAS IN OIL ANALYSIS; FAULT TYPES; FEED-FORWARD; LEVENBERG-MARQUARDT; LEVENBERG-MARQUARDT ALGORITHM; LEVENBERG-MARQUARDT LEARNING ALGORITHMS; MULTIPLE LAYERS; NEURAL NETWORK TOPOLOGY; RELIABLE TRANSFORMERS; TRANSFORMER FAULTS;

ACETYLENE; DISSOLUTION; ELECTRIC NETWORK TOPOLOGY; ETHYLENE; GASES; LEARNING ALGORITHMS; METHANE; OIL FILLED TRANSFORMERS; POWER TRANSFORMERS; TRANSFORMER SUBSTATIONS;

FEEDFORWARD NEURAL NETWORKS;

EID: 77956756396     PISSN: 14728915     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

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