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本文介绍了BP人工神经网络在局部放电模式识别中的应用,结合实际现场情况提出了一部局部放电特性的提取方法,并在此方法基础上开发出局部放电模式识别系统,然后利用此系统对空气火花放电和油中火花放电进行了模式识别实验,实现结果证明了这种放电特性提取方法在局部放电模式识别应用中的可行性。
In this paper, the application of BP artificial neural network in partial discharge pattern recognition is introduced. A partial discharge characteristic extraction method is proposed based on the actual field conditions. Based on this method, a partial discharge pattern recognition system is developed. Then, Air spark discharge and spark discharge in oil were modeled experimentally, and the results proved the feasibility of this discharge characteristic extraction method in the application of partial discharge pattern recognition.