Abstract
Two different approaches to model-based on-line diagnosis are compared. The DMP method is based on quantitative constraint equations. MIDAS is based on signed directed graphs that are translated into an event graph consisting of the possible state transition events of the process and the failures that they are symptoms of. The methods, which both have been implemented in G2, have been applied to a real-time simulation model of a sterilization process.
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