Author(s)

R. Leitch, Q. Shen, G. Coghill, M. Chantler & A. Slater

Abstract

Qualitative model based diagnosis of a continuous process R. Leitch, Q. Shen, G. Coghill, M. Chantler & A. Slater Intelligent Automation Laboratory, Department of Computing and Electrical Engineering, Heriot-Watt University, Edinburgh EH14 4AS, UK ABSTRACT We show how qualitative simulation can be used to monitor and diagnose faults in the behaviour of dynamic physical systems. Our system synchronously tracks the evolution of the real 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 processes. INTRODUCTION The benefits of using Model Based Reasoning for diagnosing faults on physical systems are

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