Data-driven design of monitoring and diagnosis systems for dynamic processes: A review of subspace technique based schemes and some recent results

• The development of data-driven design of process monitoring and fault diagnosis (PM-FD) systems is reviewed.
• A data-driven design framework for observer-based PM-FD systems is sketched and finally.
• Some recent results are presented.

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.