DocumentCode
1849325
Title
Pattern recognition of single and composite partial discharge on generator stators
Author
Wang, Wei ; Li, Wufeng ; Wufeng Li ; Liu, Lin ; Wang, Zezhong ; Ding, Lijian
Author_Institution
North China Electr. Power Univ., Beijing, China
fYear
2001
fDate
2001
Firstpage
335
Lastpage
339
Abstract
Partial discharge (PD) can indicate faults in insulation of generator stator windings, so it is important to identify the PD pattern for later inspection of generator stator windings. In this paper, some generator model bars were made and some typical PD phenomena in generator stator windings were simulated. PD tests were tried to find the features of composite PD. The data obtaind from the test were analyzed using statistical parameters and the spectrum of different types of PD were plotted to reveal the difference of different patterns of PD. A BP neural network was also used to recognize the PD patterns using some new input parameters
Keywords
backpropagation; electric generators; electric machine analysis computing; insulation testing; machine insulation; machine testing; neural nets; partial discharge measurement; pattern recognition; statistical analysis; stators; BP neural network; PD phenomena; PD tests; backpropagation; composite partial discharge; generator model bars; generator stators; inspection; pattern recognition; single partial discharge; statistical parameters; Bars; Fault diagnosis; Inspection; Insulation; Neural networks; Partial discharges; Pattern analysis; Pattern recognition; Stator windings; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Electrical Insulation and Dielectric Phenomena, 2001 Annual Report. Conference on
Conference_Location
Kitchener, Ont.
Print_ISBN
0-7803-7053-8
Type
conf
DOI
10.1109/CEIDP.2001.963551
Filename
963551
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