Fault diagnosis in an extra-high voltage power line

O. Babayomi, P. Oluseyi, N. Ofodile, Godbless Keku
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引用次数: 2

Abstract

The use of fuzzy and adaptive neuro-fuzzy technique for fault detection, classification and location is presented in this study. Ten different types of electrical faults in a transmission line were investigated. The results obtained show that a high degree of accuracy was recorded for detection, classification and location of electrical faults in the extra-high voltage line. Ongoing studies on the subject are expected to further improve levels of accuracy in fault classification and location especially.
特高压输电线故障诊断
本文提出了利用模糊和自适应神经模糊技术进行故障检测、分类和定位。研究了输电线路中十种不同类型的电气故障。结果表明,该方法对特高压线路电气故障的检测、分类和定位具有较高的准确性。正在进行的研究有望进一步提高断层分类和定位的准确性。
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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