Journal of Shanghai Jiaotong University

• Mechanical Engineering • Previous Articles     Next Articles

Multivariate Statistical Process Diagnosis Based on Path Diagram

CHEN Wenduo ,MIAO Rui ,ZHAO Yanzheng,JIANG Zhibin   

  1. (School of Mechanical Engineering, Shanghai Jiaotong University, Shanghai 200240, China)
  • Received:2009-11-04 Revised:1900-01-01 Online:2010-12-31 Published:2010-12-31

Abstract: In view of the diagnosis of outofcontrol signals in multivariate statistical process control charts, a method of multivariate process diagnosis based on path diagram was proposed. Utilizing the quantitative causation among variables given by the path diagram, a simultaneous equation model could be obtained by establishing the linear regression equations for all variables independently. Then, the simultaneous equation model was applied to derive a uniform decomposition for T2 statistic. And the control limits for all decomposition terms were given as the standards of judging the root causes contributing to the outofcontrol signals. Simulation studies for a system consisting of three variables were carried out to demonstrate that the proposed method is reasonable.

CLC Number: