基于模糊聚类的数控设备加工能力相似性技术研究  

Research on NC Equipment Comparability Based on Fuzzy Cluster

作　　者：刘建春[1,2] 罗良玲[1] 

机构地区：[1]南昌大学机电工程学院,南昌330029 [2]江西现代职业技术学院,南昌330029

出　　处：《机械工程师》2009年第4期68-70,共3页Mechanical Engineer

摘　　要：在解决生产调度过程中数控设备加工能力不足的问题时,传统方法是人工逐一匹配所有可用的设备加工参数。为了克服传统方法效率低下的不足,文中引入了模糊聚类方法研究数控设备加工能力相似性问题。重点介绍了最大树模糊聚类算法步骤及其应用实例,应用结果表明了方法的有效性。In order to solve the shortcoming of numerical control equipment capability, traditional way was to one by one match parameters by hand. The efficiency of traditional way was low, so the fuzzy cluster method was used to solve the problem in this paper. The Max-Tree fuzzy cluster was introduced in detail, and the arithmetic procedure was discussed. Finally, the result of an example showed the method was valid.

关 键 词：模糊聚类 数控设备 相似性 

分 类 号：TP273.3[自动化与计算机技术—检测技术与自动化装置]