SENSOR FAULT DIAGNOSIS IN DYNAMIC PROCESSES

作     者：Ahmed Alawi Julian Morris 

作者机构：Genzyme Ltd. Hollands Road. Haverhill Suffolk. CB9 8PU UK School of Chemical Engineering and Advanced Materials Centre for Process Analytics and Control Technology University of Newcastle Newcastle Upon Tyne NE1 7RU UK 

出 版 物：《IFAC Proceedings Volumes》 

年 卷 期：2007年第40卷第5期

页      面：267-272页

主　　题：Process monitoring Fault diagnosis Fault detection 

摘      要：Fault detection and diagnosis are important technologies for the safe and efficient operation of a chemical plant. This paper describes a sensor fault identification approach using variable reconstruction for dynamic systems. The proposed methodology extends sensor fault reconstruction for Canonical Variate Analysis based process performance monitoring which admits process dynamic behaviour in a natural way, and evaluates its capabilities compared to a dynamic PCA approach using a mathematical benchmark problem and a simulation of a closed loop controlled CSTR previously used for studying both simple and complex faults.