The experiment research of fuzzy clustering application in pattern recognition of GPD

Author

Dian-chun, Zheng ; Lan-xiang, He ; Shao-zuo, Bai

Author_Institution

Harbin Univ. Sci. & Tech., Harbin

fYear

2007

fDate

14-17 Oct. 2007

Firstpage

213

Lastpage

216

Abstract

Fuzzy clustering is a technique which adopts the fuzzy mathematics method to build up faintness relations of the characteristic on the basis of characteristic, close degree and comparability of the objective item. In this chapter, based on a lot of correlative literature, we first adopt a fuzzy hierarchical clustering method and a fuzzy equivalent matrix method to distinguish the partial discharge signals of a transformer, in order to research into a more effective method of partial discharge pattern recognition.

Keywords

fuzzy set theory; matrix algebra; partial discharges; pattern recognition; power transformers; correlative literature; faintness relations; fuzzy clustering; fuzzy equivalent matrix method; fuzzy mathematics; partial discharge pattern recognition; transformer; Clustering algorithms; Clustering methods; Dielectrics and electrical insulation; Educational institutions; Fuzzy systems; Helium; Hybrid intelligent systems; Mathematics; Partial discharges; Pattern recognition; fuzzy clustering; fuzzy equivalence matrix method; hierarchical clustering method; pattern recognition;

fLanguage

English

Publisher

ieee

Conference_Titel

Electrical Insulation and Dielectric Phenomena, 2007. CEIDP 2007. Annual Report - Conference on

Conference_Location

Vancouver, BC

Print_ISBN

978-1-4244-1482-6

Electronic_ISBN

978-1-4244-1482-6

Type

conf

DOI

10.1109/CEIDP.2007.4451644

Filename

4451644