标题：Research on Process Monitoring Method Based on SPC and PCA Technology
作者：Zhou, Kunlin; Guo, Rongsheng
作者机构：[Zhou, Kunlin; Guo, Rongsheng] Shandong Univ Weihai, Sch Mech Elect & Informat Engn, Weihai 264209, Peoples R China.
会议名称：23rd Chinese Control and Decision Conference
会议日期：MAY 23-25, 2011
来源：2011 CHINESE CONTROL AND DECISION CONFERENCE, VOLS 1-6
关键词：interaction; process monitoring; SPC; PCA; monitoring limits; fault; diagnosis
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.