电工技术学报2016，Vol.31Issue(20)：41-54,14.
基于分解组分分析的SF6设备绝缘故障诊断方法与技术的研究现状
Research Status of SF6 Insulation Equipment Fault Diagnosis Method and Technology Based on Decomposed Components Analysis
摘要
Abstract
With the gas insulated switchgear (GIS) equipment increasingly and widely used in each voltage levels, insulation fault of the GIS equipment will seriously endanger the safe operation of power system. The condition monitoring and fault diagnosis of GIS is an effective method to reduce failure rate and operational cost. This paper reviews the research status of SF6 insulation equipment fault diagnosis method and technology based on decomposed components analysis which is a research hotspot in the world, to promote the theory and technical progress of the field. On the basis of the analysis of gas-insulated equipment fault statistics at home and abroad, common insulation failure and its causes were introduced firstly. Then, from the point of SF6 decomposition process and mechanism, the fault diagnosis mechanism based on SF6 decomposed components was analyzed and SF6 fault decomposition characteristic products were emphatically commented. What’s more, research progress of fault diagnosis that regards decompose component ratio as characteristic quantity was summarized. Finally, combining with current research status and unsolved difficult problems, this paper points out the research points and development tendency of SF6 insulated equipment fault diagnosis method and technology based on decomposition component analysis.关键词
分解组分分析/SF6/故障诊断/分解机制/特征比值/分解产物Key words
Decomposed components analysis/SF6/fault diagnosis/decomposition mechanism/concentration ratio/decomposition products分类
信息技术与安全科学引用本文复制引用
唐炬,杨东,曾福平,张晓星..基于分解组分分析的SF6设备绝缘故障诊断方法与技术的研究现状[J].电工技术学报,2016,31(20):41-54,14.基金项目
国家自然科学基金重点资助项目（51537009）。 （）
