Abstract
Sensor data fusion is one of the main problems when developing on-line realtime expert systems. During the development of the MIP project several fuzzy logic techniques have beenbuilt up to help with this problem. MIP [1] is a realtime expert system for assistance to petrochemical processes, deployed and in production in a petrochemical plant of INH-REPSOL in Tarragona, Spain. The techniques presented in this paper ascertain confidence values to each sensor measurement. These techniques are currently in production in the plant.
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References
Alamán X. et al., “Knowledge-Based Systems for Real-Time Process Control: The MIP Project”. 1992 IFAC/IFIP/IMACS International Symposium on Artificial Intelligence in Real-Time Control, Delft, The Netherlands, June 1992.
Alexander et al., “An Architecture for Sensor Fusion in Intelligent Process Monitoring”, Computers Ind. Eng. Vol. 16, No. 2, pp. 307–311, 1989.
Chendrasekaran B. and Punch W. F., “Data Validation During Diagnosis, A Step Beyond Traditional Sensor Validation”, AAAJ 1987, pp. 778–782, 1987.
Dubois D. and Prade H., “Possibility Theory”, Plenum Press, New York, 1988.
Dubois D. and Prade H., “Fuzzy Sets, Probability and Measurement”, European Journal of Operational Research Vol. 40, pp. 135–154,1989.
Fox M.S. et al., “Techniques for Sensor-Based Diagnosis”, IICAI 83, pp. 158–163, 1983.
Leinweber D. and Gidwani K., “Real-Time Expert System Development Techniques and Applications”, Western Conference on K.B. Engineering and E.S., pp. 69–77,1986.
Rowan D. A., “On-line Expert Systems in Process Industries”, AI EXPERT, Miller Ferman Publications, August 1989.
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© 1993 ECSC-EEC-EAEC, Brussels-Luxembourg
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Aguilar-Crespo, J.A., Domínguez, J.M., de Pablo, E., Alamán, X. (1993). Fuzzy Logic Techniques for Sensor Fusion in Real-Time Expert Systems. In: Pfleger, S., Gonçalves, J., Vernon, D. (eds) Data Fusion Applications. Research Reports ESPRIT, vol 1. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-84990-9_9
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DOI: https://doi.org/10.1007/978-3-642-84990-9_9
Publisher Name: Springer, Berlin, Heidelberg
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