摘要
电力系统设备缺陷预测是通过对设备当前和历史缺陷数据的分析 ,对未来可能发生的缺陷做出预测 ,使检修部门提前做好缺陷处理准备。文章把电网运行分析决策支持系统作为开展设备缺陷预测的工作平台 ,对其进行了研究 ,并提出了一种基于时间序列法的电力系统设备缺陷预测方法 ,该方法简单、方便 。
By analyzing the current and history defect data of electric equipments,we can predict the occurrence of future defect,so the service units can make preparation in advance.In this paper,as considering decision support system (DSS) of the electric network as the work_platform of defect forecast,this paper does some researches on DSS,then analysis on defect data is made.Also it proposes a defect forecast method based on time series analysis.It is simple and can predict the occurrence of the defect accurately.
出处
《浙江电力》
2003年第6期1-4,共4页
Zhejiang Electric Power
关键词
缺陷预测
数据挖掘
时间序列
defect forecasting
data mining
time series analysis
