Statistical Process Control of Multistage Processes with Bayesian Sequential Bifurcation

摘要：

Multistage process quality control has received much attention in the last two decades. In this article, we provide a statistical quality control scheme for multistage processes based on the state space model and Bayesian theory. The posterior probabilities of each possible fault scenario are evaluated. Whenever the fault scenario associated with the largest posterior probability exceeds certain threshold, the control chart will give out an alarm. Numerical analysis proves that the new method has satisfactory diagnosis power. Besides, detailed derivation of the fault propagation pattern of the Kalman-filtered residuals in presence of mean shifts is also presented.

作者: Yan-ting LI

作者单位: School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China State Key Laboratory of Mechanical System and Vibration, Shanghai Jiao Tong University, Shanghai, China

会议类型: 国际会议

会议名称: 2011 IEEE 18th International Conference on Industrial Engineering and Engineering Management(2011 IEEE 第十八届工业工程与工程管理国际会议 IEEM2011)

会议地点: 长春

会议语种:英文

页码: 1061-1065

在线出版日期: 2011-09-03（万方平台首次上网日期，不代表论文的发表时间）