We show how qualitative can be used to monitor and diagnose faults in the behaviour of dynamic physical systems. Our system synchronously tracks the evolution of the real time system and iteratively searches for faults based on a characterisation of the modelling space. A particular innovation is the use of priority measures to rank the multiple behaviours predicted by the simulation and to use these in establishing the most likely fault. The operation of the system is illustrated by application to an experimental process rig that consists of continuous and dynamic thermal and flow process.
|Title of host publication||Applications and Techniques|
|Number of pages||19|
|Publication status||Published - 1993|