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Integrated power transformer diagnosis using hybrid fuzzy dissolved gas analysis
Author(s) -
Liu ChihHsuan,
Lin TungBin,
Yao Leehter,
Wang ShunYuan
Publication year - 2015
Publication title -
ieej transactions on electrical and electronic engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.254
H-Index - 30
eISSN - 1931-4981
pISSN - 1931-4973
DOI - 10.1002/tee.22148
Subject(s) - dissolved gas analysis , transformer , reliability engineering , electric power , fuzzy logic , engineering , computer science , power (physics) , electrical engineering , artificial intelligence , transformer oil , physics , quantum mechanics , voltage
For diagnosing power transformer faults, this study uses hybrid fuzzy technology to integrate five dissolved gas analysis (DGA) approaches: IEEE Standard Doernenburg and Roger ratio methods, IEC60599 Standard ratio method, Electric Technology Research Association of Japan (ETRAJ) Standard ratio method, and Duval triangle method. The IEC TC 10 database and substation equipment maintenance and management web system (SEMMWS) of Taiwan Power Company (TPC) are then used for simulation and verification. Practical cases demonstrate that the integrated approach is more accurate than conventional methods. © 2015 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc.