Fault diagnosis of power transformer based on parsimonious covering set theory integrated with fuzzy logic

Author

Yang, L. ; Yang, M.Z. ; Shang, Y. ; Yan, Z. ; Jin, X.H. ; Wang, C.C. ; Cheng, T.C.

Author_Institution

Sch. of Electr. Eng., Xi´´an Jiaotong Univ., China

fYear

2000

fDate

2000

Firstpage

271

Lastpage

274

Abstract

Parsimonious covering set theory integrated with probability reasoning and fuzzy logic is presented to diagnose the insulation condition of oil-immersed power transformer. The relevant diagnostic model is also constructed. In the modeling stage, the relationship between malfunction and symptom along with the possibility of malfunction are realized. Also, fuzzy borderline is considered for extracting symptoms. The symptoms used in this model include data not only from dissolved gas analysis, but also from varied electrical tests. The accuracy of diagnosis can be improved further

Keywords

diagnostic reasoning; fault diagnosis; fuzzy logic; insulation testing; power engineering computing; power transformer insulation; set theory; diagnostic model; diagnostic reasoning; dissolved gas analysis; electrical testing; fault diagnosis; fuzzy borderline; fuzzy logic integrated; insulation condition; malfunction; membership function; oil-immersed power transformer; parsimonious covering set theory; probability reasoning; relative likelihood function; Dielectrics and electrical insulation; Fault diagnosis; Fuzzy logic; Fuzzy set theory; Fuzzy sets; Oil insulation; Power transformers; Set theory; Testing; Uncertainty;

fLanguage

English

Publisher

ieee

Conference_Titel

Electrical Insulation, 2000. Conference Record of the 2000 IEEE International Symposium on

Conference_Location

Anaheim, CA

ISSN

1089-084X

Print_ISBN

0-7803-5931-3

Type

conf

DOI

10.1109/ELINSL.2000.845505

Filename

845505