Methods of discriminating partial discharge and noise for power cable lines

M. Chen, K. Urano, Y. Sekiguchi, H. Komeda, S. Asai, A. Jinno, S. Fukunaga
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引用次数: 2

Abstract

This paper describes a new multiple means of discriminating partial discharge (PD) and noise for power cable lines, which is applied in some newly developed PD auto-measuring systems, not only for the PD measurement in laboratory, but also for the after-laying testing of power cable line on-site. Discrimination of PD and noise can be divided into two kinds of PD judgment. First, the judgment is executed automatically based on multiple logic gates: f-gate for frequency, n-gate for pulse count rate, q-gate for pulse magnitude, /spl phi/-gate for PD phase position, t-gate for continuous time, set logically in serial or in parallel. Second, the signals can be recognized by their pattern distributions: neural network recognition is based on the /spl phi/-q-n pattern; multiple frequency recognition is based on f-q-t pattern; and statistical source location pattern is based on x-q-t pattern. Satisfactory discrimination of high accuracy has been obtained through applying the measuring systems using the method in several PD measurements on-site.
电力电缆线路局部放电和噪声判别方法
本文介绍了一种新的判别电力电缆局部放电和噪声的多重方法,并将其应用于一些新开发的电力电缆局部放电自动测量系统中,既可用于实验室局部放电测量,也可用于电力电缆线路敷设后的现场测试。PD与噪声的判别可分为两种PD判断。首先,基于多个逻辑门自动执行判断:频率为f门,脉冲计数率为n门,脉冲幅度为q门,PD相位位置为/spl phi/-门,连续时间为t门,逻辑设置为串行或并行。第二,利用信号的模式分布对信号进行识别:神经网络识别基于/spl phi/-q-n模式;多频识别基于f-q-t模式;统计源定位模式基于x-q-t模式。应用该方法的测量系统进行了多次现场PD测量,取得了满意的高精度判别结果。
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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