Association rule mining-based dissolved gas analysis for fault diagnosis of power transformers

IEEE Transactions on Systems, Man and Cybernetics Part C: Applications and Reviews

Volumn 39, Issue 6, 2009, Pages 597-610

  Yang, Z ^a   Tang, W H ^a   Shintemirov, A ^a   Wu, Q H ^a  

^a UNIVERSITY OF LIVERPOOL   (United Kingdom)

Author keywords

Apriori TFP; Association rule mining; Bootstrap; Dissolved gas analysis; Fault diagnosis; Power transformer

Indexed keywords

APRIORI; ASSOCIATION RULE MINING; ATTRIBUTE DISCRETIZATION; ATTRIBUTE SELECTION; CONTINUOUS DATA; DATA SETS; DISSOLVED GAS ANALYSIS; FAULT DIAGNOSIS; FITNESS EVALUATIONS; FITNESS VALUES; INDUSTRY STANDARDS; RULE SELECTION; SIMPLIFICATION METHOD; TEST DATA;

ASSOCIATION RULES; ASSOCIATIVE PROCESSING; CLASSIFIERS; DATA MINING; DIAGNOSIS; DISCRETE EVENT SIMULATION; DISSOLUTION; ELECTRIC TRANSFORMER TESTING; FAILURE ANALYSIS; FINITE DIFFERENCE METHOD; GAS CHROMATOGRAPHY; STATISTICAL TESTS; TRANSFORMER SUBSTATIONS;

POWER TRANSFORMERS;

EID: 77955092273     PISSN: 10946977     EISSN: None     Source Type: Journal    
DOI: 10.1109/TSMCC.2009.2021989     Document Type: Article

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