Technical University of Munich, Department of Computer Science
MQM Paper: [Struss/Malik 97]

Peter Struss, Andreas Malik

Automated Diagnosis of Car-Subsystems Based on Qualitative Models

In: Expertensysteme 97, Beiträge zur 4. Deutschen Tagung Wissensbasierter Systeme (XPS-97), 5.-7. März 1997, Bad Honnef am Rhein. PAI Proceedings in Artificial Intelligence, Vol. 6, infix-Verlag, Sankt Augustin, pp. 157-166, 1996.

Abstract

The paper presents objectives and results of a series of case studies in computer support for diagnosis, failure mode and effects analysis, and the creation of repair manuals in the domain of automotive systems. Model-based prediction and diagnosis reflect the requirements of these tasks. More specifically, qualitative models of system components are necessary for both capturing the available knowledge and achieving the desired coverage and granularity of the analysis results. We describe models for parts of the anti-lock braking system (ABS) the electronic diesel control (EDC), and a controlled electric motor. The summarized results of the case study demonstrate the necessity and utility of qualitative models for the successful application of automated diagnosis to industrial problems.

Remark
This paper is a reprint of [Struss/Malik 96] presented at the CESA'96 IMACS Multiconference Symposion on Modelling, Analysis and Simulation.

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created: Anton Seidl, Jan 23, 1997, last updated: Jakob Mauss, December 4, 1998