Pattern recognition of single and composite partial discharge on generator stators

Wei Wang, Chengrong Li, Wufeng Li, Lin Liu, Zezhong Wang, L. Ding
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引用次数: 2

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.
发电机定子单次和复合局部放电的模式识别
局部放电是发电机定子绕组绝缘发生故障的前兆,因此对局部放电模式的识别对后续发电机定子绕组的检测具有重要意义。本文制作了一些发电机模型棒,并对发电机定子绕组中一些典型的局部放电现象进行了仿真。通过PD试验,找出复合PD的特点。对试验数据进行统计参数分析,绘制不同类型PD的谱图,揭示不同类型PD的差异。利用BP神经网络对PD模式进行识别,并引入新的输入参数。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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