Classification of different types of partial discharge based on acoustic emission techniques

Proceedings of 2013 2nd International Conference on Measurement, Information and Control Pub Date : 2013-08-01 DOI:10.1109/MIC.2013.6758155

Ziyun Li, Yancheng Li, Jinyang Du, Junguo Gao, Xiaohong Zhang, Tong Liu, Guoli Wang, Ruihai Li, Zhihong Liu, Jianying Wang

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引用次数: 3

Abstract

The major cause of failure of high voltage apparatuses is the presence of partial discharge in insulation structure. Different types of partial discharge existed in power apparatus, which will lead to breakdown of insulation. The purpose of the research work presented in this paper constitutes the issue of effective and efficient recognition of different types of partial discharges. First, partial discharge activity under AC is studied using acoustic emission technique. The wavelet technology is used to analyze acoustic signal caused by PD. Then a hybrid model which combined wavelet transform with wavelet network is proposed to classify and characteristic different types of signals. By using this method the surface, plane-plane, pin-plane, and floating discharge signal is classified effectively. Finally, to demonstrate the effectiveness of the proposed classified method, this study investigates its identification ability using 150 sets of acoustic signals generated by the PD model in insulation oil. The experiment results show that the proposed method is efficient and reliable.

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基于声发射技术的不同类型局部放电的分类

高压电器故障的主要原因是绝缘结构存在局部放电。电力设备中存在不同类型的局部放电，会导致绝缘的击穿。本文提出的研究工作的目的是对不同类型的局部放电进行有效和高效的识别。首先，利用声发射技术研究了交流条件下的局部放电活度。采用小波分析技术对PD引起的声信号进行分析。然后提出了一种结合小波变换和小波网络的混合模型，对不同类型的信号进行分类和表征。该方法对表面、平面、引脚平面和浮动放电信号进行了有效的分类。最后，为了证明所提出的分类方法的有效性，本研究使用150组PD模型在绝缘油中产生的声信号来研究其识别能力。实验结果表明，该方法有效、可靠。

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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Proceedings of 2013 2nd International Conference on Measurement, Information and Control

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