基于OLAP的多维数据挖掘在汽轮机监测中的应用Base on OLAP Multidimensional Data Mining Arithmetic of Application on Turbine Monitor
李远生
摘要(Abstract)：
应用基于OLAP技术的多维关联规则挖掘技术,以充分发挥存储在汽轮机历史数据库中数据对电力生产的指导作用。研讨了多维关联规则挖掘算法,并成功地将基于OLAP技术多维关联规则挖掘技术应用于汽轮机运行模型的建立。实验证明,利用这种挖掘技术有利于开展汽轮机的状态检修。
In this paper,base on OLAP multidimensional association rules mining,which belong to data mining techniques,are applied to make full use of the function of the data collected in Turbine system in power plant,which can direct electric power production.Firstly,in this dissertation,the kind of associˉation rule mining method is discussed that multidimensional association rules mining arithmetic.It is sucˉcessful that base on OLAP multidimensional association rules mining is attempted to setup the normal model of turbine.It's proved that the kind of data mining supports developing corrective state overhaul of turbine.
关键词(KeyWords)：
关联规则;OLAP;汽轮机;状态检修
association rules;OLAP;turbine;state overhaul
基金项目(Foundation):
作者(Author):
李远生
DOI: 10.19585/j.zjdl.2006.03.003
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