摘要
建立了统计过程调整问题模型,研究了基于马尔可夫链蒙特卡罗方法的统计过程调整技术,并通过吉布斯抽样实现了偏移量的参数估计。在参数未知及参数已知的条件下,通过与其他方法的实例对比研究,验证了该方法的可行性及性能优势,并对参数未知条件下基于该方法的统计过程调整技术进行了改进。
Based on study of the Statistical Process Adjustment （SPA） problem in quality control area, the SPA problem model was set up. Then SPA techniques based on Markov Chain Monte Carlo （MCMC） approach were studied, and Gibbs sampling was used to estimate setup errors. Comparing to other methods which have been introduced to solve the problem on the premises of known parameter and unknown parameter, the feasibility and performance advantages of MCMC approach were proved. Furthermore, SPA techniques based on this approach with unknown parameters were also improved .
出处
《计算机集成制造系统》
EI
CSCD
北大核心
2007年第6期1210-1217,共8页
Computer Integrated Manufacturing Systems
基金
国家863/CIMS主题资助项目(2001AA412150
2003AA411110)~~
