Research on Process Monitoring Method Based on SPC and PCA Technology

摘要：

In order to overcome the interaction between variables for the multivariate process monitoring, a new method to use statistical process control and principal component analysis was proposed, which reduced the multivariate process data by the matrix operation. It can extract the main features of the process variable, and set up the upper and lower monitoring limits for the production process, and change the real-time data of the multi-variable into the monitoring information of an integrated process, and present effectively the information to the operators. With this method, it can eliminate the interaction between variables and provide the information quickly and efficiently for the fault diagnosis of production process. An on-line monitoring system was designed for the distillation process as an example, and the effectiveness of this method was illustrated.

关键词： interaction process monitoring SPC PCA monitoring limits fault diagnosis

作者: Kunlin Zhou Rongsheng Guo

作者单位: School of Mechanical, Electrical & Information Engineering,Shandong University at Weihai,Weihai, 264 School of Mechanical, Electrical & Information Engineering, Shandong University at Weihai, Weihai, 2

会议类型: 国际会议

会议名称: 2011 China Control and Decision Conference(2011中国控制与决策会议 CCDC)

会议地点: 四川绵阳

会议语种:英文

页码: 691-694

在线出版日期: 2011-05-23（万方平台首次上网日期，不代表论文的发表时间）