标题：Improving Monitoring Performance of On-Line Process Based on PCA Method
作者：Zhou, Kunlin; Rong, Gang
作者机构：[Zhou, Kunlin] Shandong Univ Weihai, Sch Mech & Elect Engn, Weihai 264209, Peoples R China.; [Rong, Gang] Zhejiang Univ, Inst Adv Proc Control, Stat 更多
会议名称：22nd Chinese Control and Decision Conference
会议日期：MAY 26-AUG 28, 2010
来源：2010 CHINESE CONTROL AND DECISION CONFERENCE, VOLS 1-5
关键词：process monitoring; PCA; on-line monitoring; human-machine monitoring; interface
摘要：Principal component analysis (PCA) is very suitable for complex process monitoring and diagnosis, but it suffers many limitations such as great calculation load, poor real-time performance and lacking of on-line monitoring. Here, this paper presents a new method for multi-variable statistical process monitoring. Based on this new method, the principal component monitoring model can be generated in the principal component subspace, and the error monitoring model can be set up in the residual subspace. The method provides a human-machine monitoring interface and related fault-diagnosis interface for integrating Principal/Error/Multi-variable. This will change the real-time data of the multi-variable into the monitoring information of an integrated process, and present them effectively to the operators. With this method, on-line monitoring system was designed for the distillation process as an example, and the effectiveness of this method was illustrated.