Abstract
This paper describes the SIMEX (Simulation based Expert System Tool) system, which performs fault localization by exploiting the causal and behavioral information contained in simulation models for the generation and verification of fault hypotheses. The system has been developed for space applications in order to improve ground based mission control. It is, however, also applicable for process monitoring purposes. The overall system concept, required model information and the hypotheses generation strategy will be outlined. A sample application will be briefly described. Project status and related research will be sketched.
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References
Heher D & Pownall P 1989, StarPlan: A Model-Based Diagnostic System for Spacecraft, Third Annual Workshop on Space Operations Automation and Robotics, Houston 1989, pp. 117–121
Haziza M 1988, An Expert-System Shell for Satellite Fault Isolation based on Structure and Behaviour, Workshop on AI Applications to Space Projects, Noordwijk1989
Plaßmeier F & Lehmann K F 1991, Utilization of MDE for FDIR Knowledge Acquisition, ERNO internal report
Exner D 1990, Core Simulator Software Design Definition Report, COLUMBUS Report
Plaßmeier F 1990, System Analysis and Knowledge Representation Requirements for the DFS Repeater, ERNO internal report
Lehmann K F 1991, Simulationsmodell DFS-Repeater für SIMEX (Simulation Model DFS Repeater for SIMEX), ERNO internal report
Böttcher C 1991, Die Verwendung multipler Modelle in der modellbasierten Diagnose (Use of multiple Models for Model Based Diagnosis), Diploma Thesis, University of Karlsruhe
Eiteljörge J 1990, System Fault Simulation for Expert System Verification, Simulators for European Space Programmes Workshop, Noordwijk 1990
Eiteljörge J 1988, Model Development Environment (MDE) for functional Simulators, International Symposium on Space Software Engineering, Turino 1988
Eiteljörge J 1988, Graphical Model Development Environment (MDE) for functional Simulators, MMI Workshop, Noordwijk 1988
Dvorak D & Kuipers B 1991, Process Monitoring and Diagnosis, IEEE Expert, June 1991
Pan Y C 1984, Qualitative Reasonings with Deep-Level Mechanism Models for Diagnoses of Dependent Failures, PhD Thesis, University of Illinois at Urbana-Champaign
Reiter R 1985, A Theory of Diagnoses from First Principles, University of Toronto and the Canadian Institute for Advanced Research
Scarl E & Jamieson I R & Delaune C I 1985 A Fault Detection and Isolation Method Applied to Liquid Oxygen Loading for the Space Shuttle, IJCAI-85, Los Angeles 1985
Milne R 1991, Model-Based Reasoning: The Applications Gap, IEEE Expert, December 1991
Kellner A & Küke R 1990, Failure Detection, Isolation and Recovery: Current and Future Developments, DGLR Jahrestagung 1990
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© 1992 Springer-Verlag Berlin Heidelberg
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Plaßmeier, F., Küke, R., Exner, D., Lehmann, K.F. (1992). Fault diagnosis based on simulation models. In: Belli, F., Radermacher, F.J. (eds) Industrial and Engineering Applications of Artificial Intelligence and Expert Systems. IEA/AIE 1992. Lecture Notes in Computer Science, vol 604. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0025018
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DOI: https://doi.org/10.1007/BFb0025018
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