摘要
随着设备状态检修及信息化建设的发展,输变电设备的状态评估和诊断成为电力系统安全稳定运行的关键技术。传统设备状态诊断多是基于离线检测参量或单一监测参量进行的,在此基础上提出一种基于多源监测数据的综合分析方法,提供了利用多源监测结果分析设备状态和缺陷的思路。利用该方法对一台带缺陷特高压高抗的多源监测数据进行时序及相关性分析,根据分析结果对设备的缺陷溯源。应用结果表明,该方法可应用于电力设备的缺陷诊断,并有效提高了诊断的准确性。
With the development of condition-based power device maintenance and information construction,state assessment and diagnosis of power devices in transmission and transformation systems have increasingly become the key technology to ensure operation safety and stability of the power system. The traditional state diagnosis of power devices is mostly based on offline monitoring parameters or single monitoring parameter. In this paper, a comprehensive analysis method is presented based on the mining of multi-source monitoring data and a new thought of device state and defect analysis using multi-source monitoring result is provided. This method is applied to analyze the time sequence and correlation of the multi-source monitoring data of a defective UHV reactor. According to the analysis results, the device defects are investigated. The application practice shows that the method can be applied to defect diagnosis of power devices and can effectively improve diagnostic accuracy.
出处
《浙江电力》
2016年第5期1-6,共6页
Zhejiang Electric Power
基金
浙江省电力公司科技项目(5211DS150026)
关键词
电力设备
在线监测
数据挖掘
数据清洗
时序分析
相关性分析
状态诊断
power device
on-line monitoring
data mining
data cleaning
time sequence analysis
correlation analysis
state diagnosis
