Intelligent High-Voltage Discharge Fault Detection and Its Diagnosis Methods Based on ANN

Ruifeng Xu, Li-xin Ma, Bo Hu, He-ran Ma, Bo-hao Tao
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引用次数: 3

Abstract

In order to prevent the harm of corona, the power sector needs to detect and analyze the fault of corona discharge. This paper put forward a single-channel structure corona detection system based on solar-blind UV detection technology, which is able to locate corona discharge effectively. And the absolute discharge area formula has been derived to quantify the corona discharge intensity. On that basis, a corona discharge fault diagnosis method has been built based on BP neural network, which can make the correct classification of the corona failure.
基于神经网络的高压放电故障智能检测与诊断方法
为了防止电晕的危害,电力部门需要对电晕放电的故障进行检测和分析。本文提出了一种基于日盲紫外检测技术的单通道结构电晕检测系统,能够有效地定位电晕放电。并推导了绝对放电面积公式,以量化电晕放电强度。在此基础上,建立了基于BP神经网络的电晕放电故障诊断方法,能够对电晕故障进行正确的分类。
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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