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
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;
Conference_Titel :
Electrical Insulation and Dielectric Phenomena, 2001 Annual Report. Conference on
Conference_Location :
Kitchener, Ont.
Print_ISBN :
0-7803-7053-8
DOI :
10.1109/CEIDP.2001.963551