基于MAS的数据挖掘在输电故障诊断中的应用  

Application of Data-mining Based on MAS to the Failure Diagnosis in Power Supply

作　　者：刘萍萍[1] 杨盛泉[1] 乔奎贤[1] 

机构地区：[1]西安工业大学计算机科学与工程学院,陕西西安710032

出　　处：《现代电子技术》2007年第12期142-144,共3页Modern Electronics Technique

摘　　要：数据挖掘就是从大量的数据中发现知识的技术。在相关领域专家指导下,数据挖掘技术可以实现对海量数据的智能分析,得到事物本质及可预测其发展趋势的、隐含的模式或规律。研究了基于多Agent的输电故障诊断系统,该系统采用数据挖掘的多种分析方法,与数据仓库、联机分析处理和多Agent等技术相结合,建立了能够监控输电网数据的综合智能决策支持系统,推进了电力企业现代化的发展。The data mining is a technique which can help recognize the mode of a large number of data. Directed by the experts in related fields,it can conduct the intelligent analysis of an amazing number of data, find the nature of things,and predict the implicit mode or law in their development trend. This paper presents the failure diagnosis system in power supply based on the technique,MAS. It adopts diverse analytical methods of data mining, combined with some other techniques such as data warehouse,online analytical processing, and multi- Agent, to establish the support system of multi - intelligence decision - making,which can monitor the data of power supply net,improving the development and modernization of electric companies.

关 键 词：MAS 数据挖掘 数据库知识发现 故障诊断 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]