Statistical Process Control of Multistage Processes with Bayesian Sequential Bifurcation
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.
Yan-ting LI
School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China State Key Laboratory of Mechanical System and Vibration, Shanghai Jiao Tong University, Shanghai, China
国际会议
长春
英文
1061-1065
2011-09-03(万方平台首次上网日期,不代表论文的发表时间)