高压电器2017，Vol.53Issue(12)：34-41,8.DOI:10.13296/j.1001-1609.hva.2017.12.006
基于数据挖掘和主成分分析的电力设备状态评价
Condition Evaluation of Power Equipment Based on Data Mining and Principal Component Analysis
摘要
Abstract
Based on data mining technology,this article uses principle component analysis algorithm to make in-depth analysis of huge amount of data related to power equipment condition.Hence,a principle component system with information fusion of key parameters of power equipment condition is formed.A comprehensive evaluation model of power equipment operation condition is built on the basis of the system,and it can make dynamic health assessment and rapid detection of abnormal state of power equipment.Transformer insulation condition is taken as an example.Results show that the proposed method can make up for the defects of traditional state evaluation methods,so it has certain reliability and practicability.关键词
电力设备/数据挖掘/主成分分析/动态评价/异常检测Key words
power equipment/data mining/principal component analysis/dynamic assessment/abnormity detection引用本文复制引用
贺川双,杜修明,严英杰,陈玉峰,盛戈皞,江秀臣..基于数据挖掘和主成分分析的电力设备状态评价[J].高压电器,2017,53(12):34-41,8.基金项目
国家高技术研究发展计划(863 计划)资助项目(2015AA050204) （863 计划）
国家电网公司科技项目(520626140020) （520626140020）
国家自然科学基金项目(51477100).Project Supported by National High Technology Research and Development Program of China(863 Program)(2015AA050204),State Grid Corporation Science and Technology Project(520626140020),National Natural Science Foundation of China(51477100). （51477100）
