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DOI:
上海电力大学学报:2012,28(2):176-180
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数据挖掘技术在电力设备状态检修中的应用
(1.上海电力学院电力与自动化工程学院, 上海 200090;2.上海市电力公司技术与发展中心, 上海 200122)
Application of Data Mining Technology in Power Equipment Condition-based Overhaul
(1.School of Electric Power and Automation Engineering, Shanghai University of Electric Power, Shanghai 200090, China;2.Technology and Development Center, Shanghai Municipal Electric Power Co., Shanghai 200122, China)
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投稿时间:2011-09-14    
中文摘要: 介绍了数据挖掘的基本过程、方法及在我国电力系统的应用现状;分析了数据挖掘在电力设备状态检修和设备故障诊断中的应用状况,给出了基于数据挖掘的电力设备状态评估模型,并以关联规则方法为例进行了分析.
Abstract:The basic procedures,methods of data mining and its practical application to the power industy in China are introduced,the present situation of data mining used in condition-based maintenance in China is analysed,and the state evaluation model based on data mining of power equipment is given,and the example of association rules is used to analyse the application of data mining to equipment fault diagnosis.
文章编号:20120218     中图分类号:    文献标志码:
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引用文本:
杨国庆,张宇.数据挖掘技术在电力设备状态检修中的应用[J].上海电力大学学报,2012,28(2):176-180.
YANG Guo-qing,ZHANG Yu.Application of Data Mining Technology in Power Equipment Condition-based Overhaul[J].Journal of Shanghai University of Electric Power,2012,28(2):176-180.