Titre :

Signal and model-based fault detection for aircraft systems

Auteur(s) :

Zolghadri, Ali [Auteur]
Laboratoire de l'intégration, du matériau au système [IMS]
Cieslak, Jérôme [Auteur]
Laboratoire de l'intégration, du matériau au système [IMS]
Efimov, Denis [Auteur]
Non-Asymptotic estimation for online systems [NON-A]
Henry, David [Auteur]
Laboratoire de l'intégration, du matériau au système [IMS]
Philippe, Goupil [Auteur]
Airbus Operation S.A.S.
Dayre, Rémy [Auteur]
Airbus Operation S.A.S.
Gheorghe, Anca [Auteur]
Laboratoire de l'intégration, du matériau au système [IMS]
Le Berre, Hervé [Auteur]
Airbus Operation S.A.S.

Titre de la manifestation scientifique :

Preprints, 9th IFAC Symposium on Fault Detection, Supervision and

Ville :

Paris

Pays :

France

Date de début de la manifestation scientifique :

2015-09-02

Titre de l’ouvrage :

Preprints, 9th IFAC Symposium on Fault Detection, Supervision and Safety of Technical Processes

Mot(s)-clé(s) en anglais :

Fault Detection
flight control

Discipline(s) HAL :

Informatique [cs]/Automatique

Résumé en anglais : [en]

The paper presents several examples on model and signal based fault detection in aircraft Electrical Flight Control System (EFCS). The examples are taken from past and on -going research projects ...
Lire la suite >The paper presents several examples on model and signal based fault detection in aircraft Electrical Flight Control System (EFCS). The examples are taken from past and on -going research projects and actions between Airbus Group and the University of Bordeaux (France). The techniques presented have been tested on highly representative aircraft benchmarks, real flight data, or through realtime implementation on Airbus test facilities and real A380 flight tests. The focus is on specific problems associated with each design when it comes to providing viable technological solutions and mechanization schemes. One of the proposed model-based solutions has received certification on new generation Airbus A350 aircraft. It is a great achievemen t for SAFEPROCESS academic community as it demonstrates that a model-based fault detection technique is now flying (first commercial flight: January 15, 2015)Lire moins >

Langue :

Anglais

Comité de lecture :

Oui

Audience :

Internationale

Vulgarisation :

Non

Collections :

• Centre de Recherche en Informatique, Signal et Automatique de Lille (CRIStAL) - UMR 9189

Source :

Harvested from HAL