DocumentCode :
2998333
Title :
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
Link To Document :
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