Title :
Power transformer fault diagnosis using DGA and group decision making with intuitionistic fuzzy preference relations
Author :
C. H. R. Martins;M. A. Araujo Araujo;R. A. Flauzino
Author_Institution :
Department of Electrical and Computer Engineering, University of Sao Paulo (USP), Sao Carlos, Brazil
Abstract :
Because of the importance of power transformers to the electrical system, operating from transmission lines to distribution, understand their condition is critical. Analysis of dissolved gases in the insulating oil of transformers is an efficient and reliable way to perform a diagnosis. However, in some situation each method of dissolved gases interpretation can indicate one different type of fault. Thus, this paper present a multi-criteria decision making method that aggregates the information of four traditional methods, and indicates the condition of transformer. The results were promising, in way that was possible to obtain a consistent response through three different interpretations.
Keywords :
"Gases","Fault diagnosis","Decision making","Power transformer insulation","Oil insulation"
Conference_Titel :
Innovative Smart Grid Technologies Latin America (ISGT LATAM), 2015 IEEE PES
DOI :
10.1109/ISGT-LA.2015.7381179