文献类型：期刊文献

英文题名：Process Monitoring Based on Performance-Triggered Scheme

作者：Ming-shan, Zhang[1]; Yang, Jian[1]; Tan, Shuai[1]; Hong-bo, Shi[1]

机构：[1] Key Laboratory of Advanced Control and Optimization for Chemical Processes of Ministry of Education, East China University of Science and Technology, Shanghai, 200237, China

年份：2018

卷号：51

期号：18

起止页码：321

收录：EI(收录号：20184105922064)

语种：英文

外文关键词：Regression analysis - Learning systems - Process control - Process monitoring - Numerical methods

摘要：In process monitoring, some specific performance indexes need to be paid attention to. Therefore, the performance-triggered process monitoring scheme is proposed. Different from the traditional process monitoring method, the process is considered normal if there is no apparent anomaly happens on the performance index. In order to predict the values of performance indexes that cannot be measured in real time, ridge regression is used. And, the regression coefficients are used to pick the most relevant process variables for subsequent modelling. In this scheme, after the performance index exceeds the control limit, the monitoring of the relevant process variables is triggered to determine whether the prediction is abnormal due to the occurrence of a fault. Then, dictionary learning method and Low rank representation (LRR) are used for feature extraction and construction of the statistic. Finally, the effectiveness of the proposed method is verified by a numerical example and the Tennessee Eastman (TE) process. ? 2018