Integrating multiple model types in model based diagnosis

A. Abu-Hanna, V. R. Benjamins, W. N.H. Jansweijer

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review


In this paper we suggest a framework for integrating multiple model types in model based diagnosis. The framework is based on two concepts. Firstly, a model typology where model types are classified and characterized in order to guide the diagnostic reasoning in focusing on relevant models. Secondly, a model ontology which is represented in a semantic network. This network constitutes the communication medium between the different model types, and facilitates switching between them. We illustrate how the framework enforces the robustness as well as the performance of the diagnostic system.

Original languageEnglish
Title of host publicationApplications of Artificial Intelligence in Engineering
EditorsD.E. Grierson, G. Rzevski, R.A. Adey
PublisherPubl by Computational Mechanics Publ
Number of pages16
ISBN (Print)1851667873
Publication statusPublished - 1992

Publication series

NameApplications of Artificial Intelligence in Engineering

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