基于大数据挖掘的变电设备故障诊断与预警研究

Research on Fault Diagnosis and Early Warning of Substation Equipment Based on Big Data Mining

基于大数据挖掘的变电设备故障诊断与预警为研究对象,在分析变电设备故障影响因素的基础上,探究了基于大数据挖掘的变电设备故障诊断系统构建方式,然后详细梳理了基于大数据分析的设备状态评价关键技术,最后通过案例分析法,探究了基于大数据挖掘的设备故障诊断预警案例,旨在为我国基于大数据挖掘的设备故障诊断与预警能力的快速提升提供更多的经验参考。

The substation equipment fault diagnosis and early warning based on big data mining as the research object.Based on the analysis of the influencing factors of substation equipment fault,this paper explores the construction mode of substation equipment fault diagnosis system based on big data mining,and then combs the key technologies of equipment state evaluation based on big data analysis in detail.Finally,through the case analysis method,this paper explores the equipment fault diagnosis and early warning case based on big data mining,The purpose is to provide more experience and reference for the rapid improvement of equipment fault diagnosis and early warning ability based on big data mining in China.