Abstract
ARTEX — Knowledge-Based Fault Detection and Correction in a Routing Switcher
Efficient knowledge-based fault detection and repair requires different representation mechanisms to describe the necessary physical concepts as well as the actual system design and system properties. In ARTEX the causal relations between system faults and system states are modeled by rule sets which consider either physical transmission, control flow or power supply. This knowledge base constitutes the general diagnostic rules for all possible configurations. In order to adapt the general knowledge to an actual installation the rules have to be sensitive to the system configuration and the current system state. This is achieved by an object-based model using classes for the generic configuration information and instances for the description of the system state. Using an object-oriented model and different sets of rules facilitate the knowledge aquisition process in ARTEX (e.g. a new fault-detection strategy versus a change in the system configuration). The prototype of ARTEX was implemented on a LISP-Machine.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
Literatur
R. Milne: Functional Reasoning for Fault Diagnosis Expert Systems, Proc. of Applications of Artificial Intelligence I I, 1985.
W.A. Perkins, T.J. Laffey, and T.A. Nguyen: Reasoning about Fault Diagnosis with LES, Proc. of the First Conference on Artificial Intelligence Application, Denver, CO, 1984.
M.P. Prevost and T.J. Laffey: Knowledge-Based Diagnosis of Electrical Instrumentation, Proc. of the Second Conference on Artificial Intelligence Applications, Miami Beach, FL, 1985.
E.A. Serai, J.R. Jamieson and C.I. Delaune: A Fault Detection and Isolation Method Applied to Liquid Oxygen Loading for the Space Shuttle, Proc. of the 9. IJCAI, Los Angeles, 1985.
C. Strandberg, I. Abramovich, D. Mitchell and K. Prill: PAGE-1: A Troubleshooting Aid for Nonimpact Page Printing Systems, Proc. of the Second Conference on Artificial Intelligence Applications, Miami Beach, FL, 1985.
P. Friedland: Preface to Architectures for Knowledge-Based Systems, Communications of the ACM, Vol. 28, No. 9, Seite 903, 1985.
Texas Instruments: Personal Consultant Plus Manual, 1986.
G. Friedrich, W. Nejdl und J. Retti: Wissensbasierte Fehlererkennung und Fehlerbehebung mithilfe eines objektorientierten Modells in ARTEX, in E.Buchberger, J.Retti (eds.) Proceedings, der 3. Österreichischen Artificial Intelligence Tagung, Wien, Sept. 1987.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 1987 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Retti, J., Nejdl, W., Friedrich, G. (1987). ARTEX — Wissensbasierte Fehlererkennung und Fehlerbehebung in einem Vermittlungssystem. In: Brauer, W., Wahlster, W. (eds) Wissensbasierte Systeme. Informatik — Fachberichte, vol 155. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-88719-2_18
Download citation
DOI: https://doi.org/10.1007/978-3-642-88719-2_18
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-18494-2
Online ISBN: 978-3-642-88719-2
eBook Packages: Springer Book Archive