Qualitative model based diagnosis of a continuous process

R. Leitch; Q. Shen; G. Coghill; M. Chantler; A. Slater

Qualitative model based diagnosis of a continuous process

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

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

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.

Original language	English
Title of host publication	Applications and Techniques
Pages	291-309
Number of pages	19
Volume	2
Publication status	Published - 1993

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title = "Qualitative model based diagnosis of a continuous process",

abstract = "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.",

author = "R. Leitch and Q. Shen and G. Coghill and M. Chantler and A. Slater",

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AU - Leitch, R.

AU - Shen, Q.

AU - Coghill, G.

AU - Chantler, M.

AU - Slater, A.

PY - 1993

Y1 - 1993

N2 - 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.

AB - 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.

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M3 - Conference contribution

SN - 185166839X

VL - 2

SP - 291

EP - 309

BT - Applications and Techniques

ER -

Qualitative model based diagnosis of a continuous process

Abstract

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