Research of power transformer fault diagnosis system based on rough sets and Bayesian Networks

Advanced Materials Research

Volumn 320, Issue , 2011, Pages 524-529

  Li, Qin ^a,b   Li, Zhibin ^a   Zhang, Qi ^a  

^a SHANGHAI UNIVERSITY OF ELECTRIC POWER   (China)

^b TONGJI UNIVERSITY   (China)

Author keywords

Bayesian Network; Fault diagnosis; MATLAB BNT; Rough sets; Transformer

Indexed keywords

DATA SETS; DISSOLVED GASES ANALYSIS; FAULT DIAGNOSTICS; POWER TRANSFORMER FAULT DIAGNOSIS; RELIABLE POWER SUPPLY; ROUGH SET; SIMPLIFICATION RULES; THREE-RATIO METHODS; TRANSFORMER; TRANSFORMER FAULT DIAGNOSIS;

COMPUTER SCIENCE; COMPUTER SIMULATION; ELECTRIC FAULT CURRENTS; ELECTRIC POWER SUPPLIES TO APPARATUS; ELECTRIC POWER SYSTEMS; FAILURE ANALYSIS; GAS FUEL ANALYSIS; MATLAB; POWER TRANSFORMERS; ROUGH SET THEORY; TERMINALS (ELECTRIC);

BAYESIAN NETWORKS;

EID: 80053059599     PISSN: 10226680     EISSN: None     Source Type: Book Series    
DOI: 10.4028/www.scientific.net/AMR.320.524     Document Type: Conference Paper

References (6)

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