The influence of the momentum coefficient and the number of the averaging points of the power spectrum density on the recognition effectiveness of the AE signals generated by basic PD forms by the neuron network

T. Boczar, S. Borucki, A. Cichon, M. Lorenc
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引用次数: 1

Abstract

The subject matter of this paper refers to the next stage of the research work connected with the improvement of the acoustic emission method (AE) used for the evaluation of partial discharges (PDs) generated in paper-oil insulation systems of high-voltage power appliances. The subject matter discussed here refers to one of the aspects of the analysis of the signals registered - a correct and effective recognition of the AE signals generated by basic PD forms. The paper presents research results of the application of the unidirectional artificial neuron networks (ANN) used for the recognition of basic PD forms that can occur in paper-oil insulation impaired by aging processes.
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研究了动量系数和功率谱密度平均点个数对神经元网络对基本PD形式产生的声发射信号识别效果的影响
本文的主题是关于改进用于评价高压电器纸油绝缘系统局部放电的声发射方法的下一阶段的研究工作。这里讨论的主题是指对所登记的信号进行分析的一个方面——对基本PD表产生的声发射信号进行正确有效的识别。本文介绍了单向人工神经元网络(ANN)用于识别老化过程中纸油绝缘中可能出现的基本PD形式的研究结果。
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