An intelligent power plant fault diagnostics for varying degree of severity and loading conditions

IEEE Transactions on Energy Conversion

Volumn 25, Issue 2, 2010, Pages 546-554

  Ma, Liangyu ^a   Ma, Yongguang ^a   Lee, Kwang Y ^b  

^a NORTH CHINA ELECTRIC POWER UNIVERSITY   (China)

^b Baylor University   (United States)

Author keywords

Fault diagnosis; Feedwater heaters; Neural networks; Optimal zoom search; Power plants; Varying degree faults

Indexed keywords

A-THERMAL; ARTIFICIAL NEURAL NETWORK; FAULT DIAGNOSIS; FAULT DIAGNOSTICS; FAULT RECOGNITION; FEATURE VARIABLE; GENERATING UNIT; INTELLIGENT POWER; LOAD LEVELS; LOADING CONDITION; OPERATING CONDITION; POWER PLANT SIMULATOR; RELIABLE OPERATION; SEARCH TECHNOLOGY; SIMILARITY RULES; SIMULATION TESTS; STRUCTURAL COMPLEXITY; TARGET SYSTEMS; THERMAL SYSTEMS; TOPOLOGICAL STRUCTURE; TRAINING METHODS;

DIAGNOSIS; FAILURE ANALYSIS; FEEDFORWARD NEURAL NETWORKS; HEATING EQUIPMENT; POWER PLANTS; STRUCTURAL OPTIMIZATION;

FEEDWATER HEATERS;

EID: 77952950887     PISSN: 08858969     EISSN: None     Source Type: Journal    
DOI: 10.1109/TEC.2009.2037435     Document Type: Article

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