摘要
对变电站设备缺陷进行预测管理,可以帮助工作人员尽快找出故障出现的趋势和原因,即设备缺陷及其部位.把先进的数据挖掘技术应用到变电站设备缺陷预测管理过程中,应用J2EE的B/S结构设计开发设备缺陷数据挖掘系统,首先对数据进行预处理,然后采用多元线性回归模型进行数据挖掘,从中发现隐含的趋势和规律,从而指导变电站工作人员提前做好缺陷处理工作.
Defect forecast management of substation equipments can help the staff of substation quickly find out the emergence and cause of faults, i.e. equipment defect and its position. By applying advanced data mining techniques to defect forecast management of substation equipments, this paper designs and develops an equipment defect data mining system based on J2EE and B/S structure. In this System, the data are pretreated firstly, and the multiple linear regression model is adopted in data mining. By this, the hidden tendency and rules are discovered, therefore the staff of substation can deal well with the defects in advance.
出处
《哈尔滨工业大学学报》
EI
CAS
CSCD
北大核心
2009年第1期272-274,共3页
Journal of Harbin Institute of Technology
关键词
数据挖掘
设备缺陷预测
数据预处理
多元线性回归
data mining
defect forecast of equipments
datapreprocessing
multiple linear regression
