Attila Tóth(1*), Katalin M. Hangos(2), Ágnes Werner-Stark(3)

(*) Corresponding Author

A Structured Model-Based Diagnosis Method for Discrete Dynamic Processes Using Event Sequences


A novel model-based fault detection and diagnosis method is proposed that is based on following event sequences measured in a discrete dynamic process. The model of the nominal and faulty operation modes is given in the form of event sequences, that are decomposed according to the components and sub-components present in the process system. The faulty event sequences are defined using extended procedure HAZID tables. A diagnostic algorithm is also presented that uses a component-wise decomposed form of the event sequences. The operation of the algorithm is illustrated on a simple example of a process system consisting of three similar tanks.


process monitoring; diagnosis; discrete event systems; qualitative models

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