基于决策支持系统平台的设备缺陷预测Defect Forecast of Electric Equipments Based on Decision Support System of the Electric Network
陈拥军,王康元,黄民翔
摘要(Abstract)：
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 ,能够较为准确地预测设备缺陷的发生
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.
关键词(KeyWords)：
缺陷预测;数据挖掘;时间序列
defect forecasting;data mining;time series analysis
基金项目(Foundation):
作者(Author):
陈拥军,王康元,黄民翔
DOI: 10.19585/j.zjdl.2003.06.001
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