关联规则挖掘算法在汽轮机监测中的应用

Association rule mining arithmetic applied to turbine monitoring

介绍了数据挖掘技术中的关联规则挖掘算法的基本概念,以及运用该算法建立汽轮机运行模型的方法,以某汽轮机轴系振动的数据挖掘为算例,详细说明了通过关联规则挖掘算法,从大量汽轮机振动监测数据中确定轴系振动范围的过程。最后指出,支持度、置信度阈值的设置对挖掘结果有很大的影响。

This paper describes the basic concept of the mining algorithm of association rules in data mining techniques as well as the way of turbine operation modelling based on the algorithm. Taking the data mining of the shafting vibration on a steam turbine for example, it elaborates on the process of using the algorithm to determine the shafting vibration scope from a mass of turbine vibration monitoring data. It is indicated at last that the setting of support degree and confidence threshold has great influence on the mining results.