Abstract
In this paper we present a case–based troubleshooting tool developed in the context of the SMMART project. The application aims at the identification and solution of failures in trucks, exploiting a hybrid approach based on the integration of CBR, model based reasoning and fault trees. The case–based module of the final system allows to identify the most probable part of the truck that is responsible for the failures (e.g. engine, gearbox, and so on): then, model–based reasoning or fault trees can be used to detect the real cause of the problem (e.g. an electric cable in the engine) and to identify the action needed to solve it (e.g. substitute the cable). The project is a collaboration between the University of Milan–Bicocca and Volvo Trucks.
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Bandini, S., Colombo, E., Frisoni, G., Sartori, F., Svensson, J. (2008). Case-Based Troubleshooting in the Automotive Context: The SMMART Project. In: Althoff, KD., Bergmann, R., Minor, M., Hanft, A. (eds) Advances in Case-Based Reasoning. ECCBR 2008. Lecture Notes in Computer Science(), vol 5239. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-85502-6_41
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DOI: https://doi.org/10.1007/978-3-540-85502-6_41
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