Fuzzy-Based Intelligent Sensors: Modeling, Design, Application

Eric Benoit (1, 2) , Richard Dapoigny (1, 2) , Laurent Foulloy (1, 2)

1 LISTIC - Laboratoire d'Informatique, Systèmes, Traitement de l'Information et de la Connaissance
2 LAMII - Laboratoire d'Automatique et de MicroInformatique Industrielle

This paper presents a modeling of intelligent sensors based on a representation of the sensor by services it uses or it proposes, and by its USer Operating Modes (USOMs). This modeling is used for the definition of the reactive layer of distributed agent based intelligent sensors. Our area of interest is the agent-level layer in which the concept of IIC (Intelligent Instrument Cluster) is defined. An application that uses fuzzy-based intelligent sensors is presented in order to illustrate the concepts.

Mots clés: Fuzzy subset; Intelligent sensor; Fuzzy sensor

Domaines: Instrumentations et Détecteurs [physics.ins-det]; Informatique

Eric Benoit, Richard Dapoigny, Laurent Foulloy. Fuzzy-Based Intelligent Sensors: Modeling, Design, Application. 8th IEEE Int. Conf. on Emerging Technologies and Factory Automation, Oct 2001, Juan les Pins, France. pp.401-407, ⟨10.1109/ETFA.2001.997712⟩. ⟨hal-00377912⟩