基于数据挖掘技术的电厂设备状态检修系统

介绍了基于数据挖掘技术的设备状态检修系统设计模型。本系统采用模块化设计,包括3个模块和2个数据库,分别为数据采集模块,诊断分析模块,决策分析模块和历史数据数据库,规则数据库。数据采集模块用于采集设备的运行状态信息;诊断分析模块根据采集到的数据对设备状态进行分析评价,从而确定最佳的检修时间和检修项目,制定合适的检修决策建议;决策分析模块根据诊断分析的结果,决定是否进行检修,进而确定检修计划。各模块完成独立的功能,同时又相互联系。

CBM System of Power Plant Equipments Based on Data Mining

A design model of condition based maintenance(CBM) system based on data mining is introduced.It is a modularize model,which contains three modules,including data collection module,diagnosis module and analysis module,decision-making module and two databases,which are historical database and rules database.The data collection module is used to collect condition data of the electrical equipment,then the data are analyzed and evaluated by the diagnosis and analysis module to determine the best time and items of examination and repair,and offer proper advice to the decisionmaking module to make decisions and arrangements.These modules communicate with each other and each of them is self-governed.