A hybrid algorithm based on neural-fuzzy system for interpretation of dissolved gas analysis in power transformers

IEEE Region 10 Annual International Conference, Proceedings/TENCON

Volumn , Issue , 2012, Pages

  Rajabimendi, Morteza ^a   Dadios, Elmer P ^a  

^a DE LA SALLE UNIVERSITY   (Philippines)

Author keywords

dissolved gas analysis; hybrid method; incipient fault detection; neural fuzzy system; Power transformer protection

Indexed keywords

DEGREE OF RELIABILITY; DISSOLVED GAS ANALYSES (DGA); DISSOLVED GAS ANALYSIS; ELECTRICAL UTILITIES; HYBRID ALGORITHMS; HYBRID METHOD; INCIPIENT FAULT DETECTION; INCIPIENT FAULTS; NEURAL-FUZZY SYSTEM;

ALGORITHMS; FUZZY SYSTEMS; GAS CHROMATOGRAPHY; PLANNING; SUSTAINABLE DEVELOPMENT; TRANSFORMER PROTECTION;

POWER TRANSFORMERS;

EID: 84873952214     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/TENCON.2012.6412171     Document Type: Conference Paper

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