基于汽轮机运行监测数据的知识发现和数据挖掘初探Investigation on Knowledge Data Discovery and Data MiningBased on the Real-time Turbogenerator's Monitoring Data
陈坚红,任浩仁,盛德仁,李蔚
摘要(Abstract)：
汽轮机运行中由数据采集系统或集散控制系统所采集的数据(通常存储在数据库中)日益增大 ,且这些数据中蕴涵了丰富的有价值的状态信息。但这些大型数据库的规模已经远远超出人工所能分析的程度 ,因此数据库中的知识发现或数据挖掘技术应运而生。文章阐述了数据挖掘(DataMining)和数据库的知识发现(KDD)的基本概念和一般知识 ,分析了基于汽轮机运行监测数据的数据挖掘和知识发现的特点和研究方法 ,并给出了几个典型的基于汽轮机运行监测数据的数据挖掘和知识发现系统的应用
Nowadays,the scale of data(normally stored in a database)collected by Data Acquisition System(DAS) or Distributed Control System(DCS) in a turbogenerator is becoming larger and larger.However there are plentiful and valuable knowledge hidden behind them.It will be beyond people's capacity when artificially analyzing and understanding these data stored in such a scale database,so the techniques of knowledge discovery and data mining are arising at the historic moment.In this paper,we explained the basic concept and general knowledge of knowledge discovery in database and data mining,analyze the characteristics and research method of knowledge discovery in database and data mining.Finally,we gave some typical applications of knowledge discovery in database and data mining system based on real time turbogenerator monitoring data.
关键词(KeyWords)：
汽轮机;监测数据;知识发现;数据库;实时
turbogenerator;monitoring data;Knowledge Discovery in Database;database;real_time
基金项目(Foundation):
作者(Author):
陈坚红,任浩仁,盛德仁,李蔚
DOI: 10.19585/j.zjdl.2001.06.002
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