Journal of Process Control, Vol.24, No.2, 431-449, 2014
Data-driven design of monitoring and diagnosis systems for dynamic processes: A review of subspace technique based schemes and some recent results
In this paper, the development of data-driven design of process monitoring and fault diagnosis (PM-FD) systems is reviewed and some recent results are presented. A major objective of this work is to sketch a process input-output data based framework of designing PM-FD systems for dynamic processes. The main focus of our study is on the data-driven design of observer-based PM-FD systems, which are, thanks to their high robustness and real-time ability, suitable for industrial applications. (C) 2013 Elsevier Ltd. All rights reserved.
Keywords:Process monitoring and fault diagnosis;Data-driven methods;Observer-based methods;Subspace identification methods;Parity space