Dissolved gas analysis principle-based intelligent approaches to fault diagnosis and decision making for large oil-immersed power transformers: A survey

Energies

Volumn 11, Issue 4, 2018, Pages

  Cheng, Lefeng ^a,b   Yu, Tao ^a,b  

^a SOUTH CHINA UNIVERSITY OF TECHNOLOGY   (China)

^b Guangdong Key Laboratory of Clean Energy Technology   (China)

Author keywords

Dissolved gas analysis; Fault diagnosis and decision; Hybrid network; Intelligent algorithms; Power transformer; Preventive electrical tests; Reliability assessment

Indexed keywords

AIR NAVIGATION; DATA MINING; DECISION MAKING; DECISION THEORY; DISSOLUTION; ELECTRIC FAULT CURRENTS; ELECTRIC INSULATION TESTING; ELECTRIC POWER TRANSMISSION NETWORKS; ELECTRIC TRANSFORMER TESTING; ENCODING (SYMBOLS); EXPERT SYSTEMS; FAILURE ANALYSIS; GAS CHROMATOGRAPHY; INTELLIGENT SYSTEMS; LEARNING SYSTEMS; NEURAL NETWORKS; OIL FILLED TRANSFORMERS; OIL WELL TESTING; PETROLEUM PROSPECTING; POWER TRANSFORMERS; RELIABILITY ANALYSIS; SIGNAL ENCODING; SURVEYS; SWARM INTELLIGENCE; SYSTEM THEORY;

DISSOLVED GAS ANALYSIS; ELECTRICAL TESTS; HYBRID NETWORK; INTELLIGENT ALGORITHMS; RELIABILITY ASSESSMENTS;

FAULT DETECTION;

EID: 85049349503     PISSN: None     EISSN: 19961073     Source Type: Journal    
DOI: 10.3390/en11040913     Document Type: Article

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