基于在线监测和联合诊断的GIS设备故障原因分析方法

Shuji Liu, Jinpeng Liu, Xingshan Wang
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引用次数: 0

摘要

GIS设备具有结构紧凑、占用空间小、性能稳定、维护简单、不易受外界环境干扰等特点。在电力系统中得到了广泛的应用。本文对在线监测系统发现的一个GIS设备故障预警进行分析,联合应用超高频、超声波、SF6气体成分分析、x射线成像等技术手段进行诊断定位,并对放电缺陷进行拆解确认。结论是由于螺杆松动引起的护罩松动导致失效。本文详细分析了故障诊断和确定原因的完整过程,验证了多技术联合诊断与在线监测相结合的重要作用,并提出了GIS设备安装、运行和维护的改进措施。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An Analysis Method of GIS Equipment Fault Causes based on Online Monitoring and Joint Diagnosis
GIS equipment has the characteristics of compact structure, small occupied space, stable performance, simple maintenance and not easy to be disturbed by the external environment. It has been widely used in power system. In this paper, a GIS equipment fault early warning found by the online monitoring system is analyzed, and the technical means such as ultra-high frequency, ultrasonic, analysis of SF6 gas composition and X-ray imaging are jointly applied to diagnose and locate, and the discharge defects are disassembled and confirmed. It is concluded that the loosening of the shield caused by the loosening of the screw leads to the failure. This paper analyzes the complete process of fault diagnosis and confirming the cause in detail, verifies the important role of the combination of multi technology joint diagnosis and on-line monitoring, and puts forward improvement measures for GIS equipment installation, operation and maintenance.
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