A Novel Systematic Method of Quality Monitoring and Prediction Based on FDA and Kernel Regression  

基于Fisher判别分析和核回归的质量监控和估计(英文)

作　　者：张曦 马思乐 阎威武 赵旭 邵惠鹤 

机构地区：[1]Guangdong Electric Power Research Institute [2]Department of Automation,Shanghai Jiao Tong University [3]School of Control Science and Engineering,Shandong University

出　　处：《Chinese Journal of Chemical Engineering》2009年第3期427-436,共10页中国化学工程学报（英文版）

基　　金：Supported by the National Natural Science Foundation of China (60504033);the Open Project of State Key Laboratory of Industrial Control Technology in Zhejiang University (0708004)

摘　　要：A novel systematic quality monitoring and prediction method based on Fisher discriminant analysis (FDA) and kernel regression is proposed. The FDA method is first used for quality monitoring. If the process is un-der normal condition, then kernel regression is further used for quality prediction and estimation. If faults have oc-curred, the contribution plot in the fault feature direction is used for fault diagnosis. The proposed method can ef-fectively detect the fault and has better ability to predict the response variables than principle component regression (PCR) and partial least squares (PLS). Application results to the industrial fluid catalytic cracking unit (FCCU) show the effectiveness of the proposed method.A novel systematic quality monitoring and prediction method based on Fisher discriminant analysis （FDA） and kernel regression is proposed. The FDA method is first used for quality monitoring. If the process is un-der normal condition, then kernel regression is further used for quality prediction and estimation. If faults have oc-curred, the contribution plot in the fault feature direction is used for fault diagnosis. The proposed method can ef-fectively detect the fault and has better ability to predict the response variables than principle component regression （PCR） and partial least squares （PLS）. Application results to the industrial fluid catalytic cracking unit （FCCU） show the effectiveness of the proposed method.

关 键 词：quality monitori-ng -quality prediction Fisher discriminant analysis kernel regression fluid catalyticcracking unit 

分 类 号：O213[理学—概率论与数理统计]