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Fuzzy Logic Techniques for Sensor Fusion in Real-Time Expert Systems

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Part of the book series: Research Reports ESPRIT ((3072,volume 1))

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

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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

  • Print ISBN: 978-3-540-56973-2

  • Online ISBN: 978-3-642-84990-9

  • eBook Packages: Springer Book Archive

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