摘要
针对电力系统中待处理数据量的急剧增加 ,研究了数据仓库和数据挖掘技术的发展概况、实现方法以及其在电力系统中的应用前景。以华能上海石洞口第二电厂为研究背景 ,将数据仓库和数据挖掘应用于设备状态检修中 ,结合炉管超温这一主题 ,介绍了数据仓库的系统结构 ,说明了数据仓库的实施原则 ,并对其进行数据挖掘和结果分析 ,发现当机组负荷和给水量与给煤量之比同时低于特定值时 ,极易发生炉管超温。
For the rapid augment of data quantity in power system,the development survey,realize methods and application foreground in power system of Data Warehouse (DW) and Data Mining (DM) are introduced.With HSSSPP as a study background,DW/DM is applied in power equipments condition maintenance.The structure of data warehouse is introduced firstly and then the principles of building data warehouse is narrated,finally,data mining is carried out.Research shows that when sets load and RWC (ratio of feed water flow and feed coal flow) were below given value simultanously,the over temperature of boiler tubes is mostly aroused,which provide decision support for steady circulate of power system.
出处
《江苏电机工程》
2003年第1期1-3,共3页
Jiangsu Electrical Engineering
关键词
数据仓库
数据挖掘
电力设备
状态检修
预测检修
电力系统
数据库
data warehouse
data mining
decision supporting system
power equipment
condition maintenance
predictive diagnostic maintenance
