数控机床可靠性增长模型参数的贝叶斯算法确定  

The study of bayesian algorithm in the parameters of CNC machine tools' reliability growth model

作　　者：余香梅[1] 罗良玲[1] 王英惠[1] 

机构地区：[1]南昌大学,南昌330029

出　　处：《机械设计与制造》2008年第10期168-169,共2页Machinery Design & Manufacture

基　　金：国家自然科学基金项目(50705039)

摘　　要：以国产数控机床的可靠性为研究对象,给出了适合数控机床的可靠性增长模型,引入了适用于小子样抽样试验的贝叶斯参数确定算法,通过贝叶斯参数估计值与传统的参数估计值分别与实验真值比较,得出应用贝叶斯算法所确定的模型参数具有更高的可靠性和准确性结论。Based on the study of CNC machine tools＇ reliability,it gives the growth model which is adapted to CNC machine tools,then introduces the Bayesian algorithm which is good for small sample＇s experimentation. At last, it is proved that the estimated value using this algorithm is much more precise and credible than the results getting by the tradition algorithm.

关 键 词：数控机床 可靠性增长 GIBBS抽样 Bayesian算法 

分 类 号：TH16[机械工程—机械制造及自动化] TG5[金属学及工艺—金属切削加工及机床]