Fuzzy reasoning in co-operative supervision systems - Archive ouverte HAL Accéder directement au contenu
Article Dans Une Revue Control Engineering Practice Année : 2000

Fuzzy reasoning in co-operative supervision systems

Résumé

This paper considers a decision support system dedicated to fault detection and isolation from a human–machine co-operation point of view. Detection and isolation are based on different models of the process (non-linear and linear causal local models). Reasoning using real numbers is often used by human beings; fuzzy logic is introduced as a numerical-symbolic interface between the quantitative fault indicators and the symbolic diagnostic reasoning on them; it also provides an effective decision-making tool in imprecise or uncertain environments while managing model uncertainty, sensor imprecision and vague normal behavior limits. Fuzzy rules are modelled geometrically; fuzzy sets are represented as points in a description space. A prototype graphical interface with structural, causal and historical views gives complete information to the human operator. In such an interface, fuzziness is displayed as a colour palette evolving with time.
Fichier principal
Vignette du fichier
fuzzy-reasoning-in-co-operative-supervision-systems.pdf (925.08 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)

Dates et versions

hal-01931750 , version 1 (27-05-2021)

Identifiants

Citer

Alexandre Evsukoff, Sylviane Gentil, Jacky Montmain. Fuzzy reasoning in co-operative supervision systems. Control Engineering Practice, 2000, 8 (4), pp.389 - 407. ⟨10.1016/S0967-0661(99)00170-7⟩. ⟨hal-01931750⟩

Collections

CEA UGA CNRS LAG
70 Consultations
61 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More