Abstract
Model-based diagnostic systems (MBDSs) are increasingly being applied to real industrial problems. Often this results in the development of large models which must be partitioned into a number of subsystems in order that the MBDSs may be applied to problems of practical size. For other MBDSs the model's equations must be causally ordered, and in dependency-based MBDSs (e.g. GDE, De Kleer and Williams. 1987) groups of simultaneous equations must be identified and solved so that a local "constraint propagation" algorithms may be employed. This paper presents the implementation, use, and extension, of a model partitioning algorithm due to Portè et al. (1988). As well as outlining its design, and its extensions, this paper also presents the results obtained by applying the algorithm to a chemical plant model.
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