DocumentCode
2629624
Title
Recognition of partial discharge based on neuro-fuzzy network in stator windings of large generators
Author
Wang, Wei ; Liu, AiFang ; Li, C.R. ; Ding, Lijian ; Wang, Jingchun
Author_Institution
North China Electr. Power Univ., Beijing, China
Volume
2
fYear
2000
fDate
2000
Firstpage
645
Abstract
A fuzzy system based on neural network has been developed to recognize the partial discharge patterns and estimate the insulation deterioration in the stator windings of large generators. In the fuzzy system, fuzzy membership function and fuzzy rule are extracted by neural network trained by experimental data
Keywords
electric generators; fuzzy neural nets; insulation testing; machine insulation; machine testing; partial discharge measurement; pattern recognition; stators; electric generator; fuzzy membership function; fuzzy rule; fuzzy system; insulation diagnosis; neural network; partial discharge; pattern recognition; stator winding; Artificial neural networks; Bars; Biological neural networks; Fuzzy neural networks; Fuzzy systems; Insulation; Intelligent networks; Neural networks; Partial discharges; Stator windings;
fLanguage
English
Publisher
ieee
Conference_Titel
Electrical Insulation and Dielectric Phenomena, 2000 Annual Report Conference on
Conference_Location
Victoria, BC
Print_ISBN
0-7803-6413-9
Type
conf
DOI
10.1109/CEIDP.2000.884041
Filename
884041
Link To Document