基于可拓理论的数据挖掘在水轮机方案设计中的应用  

Application of data mining in the scheme design of hydraulic turbine based on the extensible theory

作　　者：钟诗胜[1] 王体春[1] 王威[2] 

机构地区：[1]哈尔滨工业大学机电工程学院,黑龙江哈尔滨150001 [2]哈尔滨电机厂有限责任公司产品设计部,黑龙江哈尔滨150040

出　　处：《机械设计》2009年第7期68-71,共4页Journal of Machine Design

基　　金：国家863计划资助项目(2008AA04Z401);黑龙江省科技攻关资助项目(WH05A01);高等学校博士学科点专项科研基金资助项目(20070213072)

摘　　要：针对大型水轮机方案设计复杂性的特点,建立了面向知识重用的有约束的基元可拓集,并基于基元的可拓性和可拓变换,探讨了基于可拓集合方法的数据挖掘技术实现;提出了一种改进的FP-growth关联规则算法对有约束的基元可拓集进行关联规则挖掘,并利用基元的相关性和蕴含性对已获得的关联规则进行拓展,获得更多有价值的知识。最后,通过大型水轮机选型方案设计实例进行了说明。Aimed at the characteristics of the complexity of the scheme design for large scaled hydroturbine, the extension set of constraint basic element oriented to knowledge reuse was established. And based on the extensibility and the extensible transformation of basic element, the realization of data mining technology was discussed basing on the extensible congregation method. A kind of improved FP - growth algorithm of related rules was put forward to carrying out the related hales excavation on the constraint extensible set of basic element. And the extension on the already obtained related rules has been carried out by the use of the pertinence and implication of basic element so as to acquire more valuable knowledge. Finally, an explanation was advanced by means of a design of type selection scheme of large scaled hydroturbine.

关 键 词：数据挖掘 可拓理论 可拓集合 方案设计 IFP算法 知识重用 

分 类 号：TP311[自动化与计算机技术—计算机软件与理论]