Expert system with fuzzy clustering method for diagnosis on lifetime of transformers

Author

Kobayashi, J. ; Asaka, H. ; Mitsui, H. ; Sone, M. ; Terayama, I. ; Kenmotsu, Y.

Author_Institution

Musashi Inst. of Technol., Tokyo, Japan

fYear

1992

Firstpage

409

Lastpage

414

Abstract

Presents an expert system for estimating lifetime of transformers using clustering with fuzzy theory. By changing the training group for diagnosis, the standards for diagnosis are changed so that one can diagnose taking large amounts of data into consideration. By using a high-speed algorithm with a digital signal processor, the calculation time for the clustering is no more than one second. This calculation time is small enough to use the system for diagnosis on the production line

Keywords

expert systems; fuzzy set theory; insulation testing; life testing; production testing; transformer insulation; transformer testing; calculation time; expert system; fuzzy clustering method; high-speed algorithm; lifetime; production line; training group; transformer insulation; transformers; Clustering algorithms; Clustering methods; Diagnostic expert systems; Digital signal processors; Fuzzy systems; Hybrid intelligent systems; Life estimation; Lifetime estimation; Signal processing algorithms; Transformers;

fLanguage

English

Publisher

ieee

Conference_Titel

Electrical Insulation and Dielectric Phenomena, 1992. Annual Report. Conference on

Conference_Location

Victoria, BC

Print_ISBN

0-7803-0565-5

Type

conf

DOI

10.1109/CEIDP.1992.283217

Filename

283217