Abstract
Current Case-Based Reasoning (CBR) systems have been used in planning, engineering design, and memory organization. There has been only a limited amount of work, however, in the area of reasoning about physical systems. This type of reasoning is a difficult task, and every attempt to automate the process must overcome the problems of modeling normal behavior, diagnosing faults, and predicting future behavior. We maintain that the ability of a CBR program to reason about physical systems can be significantly enhanced by the addition to the CBR program of a model of the physical system to describe the system's structural, functional, and causal behavior. We are in the process of designing and implementing a prototypical CBR/MBR system for dealing with the faults of physical systems. The system is being tested in the domain of in-flight fault diagnosis and prognosis of aviation subsystems, particularly jet engines.
Work Supported by NASA grant NCC-1-159
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© 1992 Springer-Verlag Berlin Heidelberg
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Karamouzis, S.T., Feyock, S. (1992). An integration of Case-Based and Model-Based Reasoning and its application to physical system faults. 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/BFb0024960
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DOI: https://doi.org/10.1007/BFb0024960
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