摘要
以新疆地区的极端环境为背景,针对目前输电线路巡检效率低下等问题,选取新疆某地区的历史巡检数据,详细介绍了利用C5.0算法对该数据进行自动提取、分类的过程,构建了输电线路巡检评估决策树,并从中提取了一些重要信息。研究方法和结果可为输电线路巡检人员制定巡检计划提供参考。
Based on the extreme environment in Xinjiang,aiming at the inefficiency in the inspection of transmission lines,this paper introduces the automatic extraction and classification progress of C5.0 algorithm of the historical inspection data of a region in Xinjiang,and then establishes the power transmission line inspection evaluation decision tree and obtains some important information. The research methods and results in this paper can provide some rewarding reference to the transmission line inspectors in the making of the inspection plan.
出处
《电网与清洁能源》
北大核心
2016年第11期20-24,30,共6页
Power System and Clean Energy
基金
新疆杰出青年自然科学基金项目(2014711005)
国家自然科学基金(51367018)
中国电力科学研究院科技创新基金项目(150200018)~~
关键词
决策树
极端环境
数据挖掘
输电线路巡检
decision tree
extremity environment
data mining
transmission line inspection
