基于神经网络的高压放电故障智能检测与诊断方法

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

摘要

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