Distinguishability and Similarity between ...
Document type :
Communication dans un congrès avec actes
Title :
Distinguishability and Similarity between modes in Hybrid System Monitoring
Author(s) :
Takrouni, Asmal [Auteur]
Cocquempot, Vincent [Auteur]
Systèmes Tolérants aux Fautes [STF]
Zanzouri, Nadia [Auteur]
Ksouri, Mekki [Auteur]
Cocquempot, Vincent [Auteur]

Systèmes Tolérants aux Fautes [STF]
Zanzouri, Nadia [Auteur]
Ksouri, Mekki [Auteur]
Conference title :
2011 International Conference on Communications, Computing and Control Applications (IEEE CCCA'11)
City :
Hammamet
Country :
Tunisie
Start date of the conference :
2011-03-03
Book title :
Communications, Computing and Control Applications (CCCA), 2011 International Conference on
Publication date :
2011-03-03
English keyword(s) :
Fault detection
Hybrid systems
Luenberger observer
distinguishability
Hybrid systems
Luenberger observer
distinguishability
HAL domain(s) :
Sciences de l'ingénieur [physics]/Automatique / Robotique
English abstract : [en]
The general principle of model-based Fault Detection and Isolation (FDI) algorithms aims to compare the expected behavior of the system, given by a model, with its actual behavior, known through on-line observations. ...
Show more >The general principle of model-based Fault Detection and Isolation (FDI) algorithms aims to compare the expected behavior of the system, given by a model, with its actual behavior, known through on-line observations. Accordingly, this paper considers Hybrid Dynamical Systems (HDS), since the behavior is determined by the interaction between continuous and discrete dynamics. The proposed FDI method is based on Luenberger observers. The resulting faults indicators allow detecting both continuous and discrete faults. The property of distinguishability will be considered to guarantee modes identification and the similarity between modes is given in order to reduce residuals calculation.Show less >
Show more >The general principle of model-based Fault Detection and Isolation (FDI) algorithms aims to compare the expected behavior of the system, given by a model, with its actual behavior, known through on-line observations. Accordingly, this paper considers Hybrid Dynamical Systems (HDS), since the behavior is determined by the interaction between continuous and discrete dynamics. The proposed FDI method is based on Luenberger observers. The resulting faults indicators allow detecting both continuous and discrete faults. The property of distinguishability will be considered to guarantee modes identification and the similarity between modes is given in order to reduce residuals calculation.Show less >
Language :
Anglais
Peer reviewed article :
Oui
Audience :
Internationale
Popular science :
Non
Collections :
Source :