The role of artificial intelligence in fault-tolerant process-control systems
Farokh Bastani, I.-R. Chen · 1988
This paper discusses potential applications of Artificial Intelligence in real-time process control systems from the perspective of fault tolerance.We emphasize two areas of fault tolerance, namely, fault recovery and reconfiguration.For fault recovery, we present telescopic replication technique using a frame based knowledge representation method for facilitating real-time recovery.The impact of knowledge representation on fault recovery is addressed.For reconfiguration, we discuss how to generate contingency plans to cope with unexpected situations via planning and learning by using a lattice structure.The application of these techniques to a chemical batch process-control system is shown.