New Decision rules for Fisher discriminant ...
Document type :
Communication dans un congrès avec actes
Title :
New Decision rules for Fisher discriminant analysis : applied to fault diagnosis
Author(s) :
Atoui, Mohamed Amine [Auteur]
Université de Lille
Télécommunication, Interférences et Compatibilité Electromagnétique - IEMN [TELICE - IEMN]
Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 [IEMN]
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Cocquempot, Vincent [Auteur]
Université de Lille
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Université de Lille
Télécommunication, Interférences et Compatibilité Electromagnétique - IEMN [TELICE - IEMN]
Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 [IEMN]
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Cocquempot, Vincent [Auteur]

Université de Lille
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Conference title :
European Control Conference 2021
City :
Online
Country :
Pays-Bas
Start date of the conference :
2021-06-29
HAL domain(s) :
Sciences de l'ingénieur [physics]
English abstract : [en]
A novel framework for fault diagnosis is proposed. New rules are presented to enhance decisions making under a Bayesian latent mixture model. The proposed decision rules improve Fisher discriminant analysis based scheme. ...
Show more >A novel framework for fault diagnosis is proposed. New rules are presented to enhance decisions making under a Bayesian latent mixture model. The proposed decision rules improve Fisher discriminant analysis based scheme. These rules allow it to deal with known and not acknowledged faults. Performance evaluation using the Tennessee Eastman Process data is presented and shows a good performance of the proposed approach compared to existing methods.Show less >
Show more >A novel framework for fault diagnosis is proposed. New rules are presented to enhance decisions making under a Bayesian latent mixture model. The proposed decision rules improve Fisher discriminant analysis based scheme. These rules allow it to deal with known and not acknowledged faults. Performance evaluation using the Tennessee Eastman Process data is presented and shows a good performance of the proposed approach compared to existing methods.Show less >
Language :
Anglais
Peer reviewed article :
Oui
Audience :
Internationale
Popular science :
Non
Source :