Abstract
Car engine electronic control unit tuning is a tedious and difficult task. Engineers can no more check on-line the measurements validity: Control strategies are becoming more complex and measurements more numerous. A fault diagnosis approach relying on experts’ qualitative and uncertain knowledge has been developed to identify whenever a malfunction is present. The theoretical frame-work - based on possibility theory and on consistency and abductive indices - is first explained. The latest results are then presented. Finally, the whole incremental development process of the prototypes is described, explaining the most difficult points and how they were handled.
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Buisson, J.-C. (1999). Practical Applications of Fuzzy Technologies, chapter Approximate reasoning in computer-aided medical decision systems, pages 337–361. The Handbooks of Fuzzy Sets Series. Kluwer Academic, Boston/London/Dordrecht.
Cordier, M.-O., Dague, P., Dumas, M., Lévy, F., Montmain, J., Staroswiecki, M., and Travé-Massuyès, L. (2000). AI and automatic control approches of model-based diagnosis: Links and underlying hypotheses. In Proc. of the 4 th IFAC Symp. on Fault Detection Supervision and Safety for Technical Processes(SAFEPROCESS’2000), volume1,pages274–279.
de Mouzon, O., Dubois, D., and Prade, H. (2001). Twofold fuzzy sets in single and multiple fault diagnosis, using information about normal values. In Proceedings of the 10 th IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2001), volume 3, Melbourne.
Dubois, D., Foulloy, L., Mauris, G., and Prade, H. (2002). Probability-possibility transformations, triangular fuzzy sets and probabilisitc inequalities. In Proc. 9 th Int. Conf. Info. Processing and Management of Uncertainty in Knowledge-based Syst., pages 1077–1083.
Kahn, G., Nowlan, S., and Mc Dermott, J. (1985). Strategies for knowledge acquisition. IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 7(5):511–522.
Sanchez, E. (1977). Solutions in composite fuzzy relation equations: application to medical diagnosis in Brouwerian logic. In Gupta, M. M., Saridis, G. N., and Gaines, B. R., editors, Fuzzy Automata and Decision Processes, pages 221–234. North-Holland, Amsterdam.
Ulieru, M., editor (2000). Intelligent Manufacturing and Fault Diagnosis (II). Soft computing approaches to fault diagnosis, volume 127 of Information Science. Elsevier. Special issue.
Zadeh, Lofti Asker (1978). Fuzzy sets as a basis for a theory of possibility. Fuzzy Sets and Systems, 1(1):3–28.
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de Mouzon, O., Guérandel, X., Dubois, D., Prade, H., Boverie, S. (2004). On-Line Possibilistic Diagnosis Based on Expert Knowledge for Engine Dyno Test Benches. In: Bramer, M., Devedzic, V. (eds) Artificial Intelligence Applications and Innovations. AIAI 2004. IFIP International Federation for Information Processing, vol 154. Springer, Boston, MA. https://doi.org/10.1007/1-4020-8151-0_37
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DOI: https://doi.org/10.1007/1-4020-8151-0_37
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