Causal Analysis Methodology of Multisensor ...
Type de document :
Communication dans un congrès avec actes
Titre :
Causal Analysis Methodology of Multisensor Systems based on GNSS
Auteur(s) :
Legrand, Cyril [Auteur]
Évaluation des Systèmes de Transports Automatisés et de leur Sécurité [IFSTTAR/COSYS/ESTAS]
Beugin, Julie [Auteur]
Évaluation des Systèmes de Transports Automatisés et de leur Sécurité [IFSTTAR/COSYS/ESTAS]
Conrard, Blaise [Auteur]
Laboratoire d'Automatique, Génie Informatique et Signal [LAGIS]
Marais, Juliette [Auteur]
Laboratoire Électronique Ondes et Signaux pour les Transports [IFSTTAR/COSYS/LEOST]
Berbineau, Marion [Auteur]
Laboratoire Électronique Ondes et Signaux pour les Transports [IFSTTAR/COSYS/LEOST]
El Koursi, El Miloudi [Auteur]
Évaluation des Systèmes de Transports Automatisés et de leur Sécurité [IFSTTAR/COSYS/ESTAS]
Évaluation des Systèmes de Transports Automatisés et de leur Sécurité [IFSTTAR/COSYS/ESTAS]
Beugin, Julie [Auteur]
Évaluation des Systèmes de Transports Automatisés et de leur Sécurité [IFSTTAR/COSYS/ESTAS]
Conrard, Blaise [Auteur]

Laboratoire d'Automatique, Génie Informatique et Signal [LAGIS]
Marais, Juliette [Auteur]
Laboratoire Électronique Ondes et Signaux pour les Transports [IFSTTAR/COSYS/LEOST]
Berbineau, Marion [Auteur]
Laboratoire Électronique Ondes et Signaux pour les Transports [IFSTTAR/COSYS/LEOST]
El Koursi, El Miloudi [Auteur]
Évaluation des Systèmes de Transports Automatisés et de leur Sécurité [IFSTTAR/COSYS/ESTAS]
Titre de la manifestation scientifique :
Railways 2014, The Second International Conference on Railway Technology: Research, Development and Maintenance
Pays :
France
Date de début de la manifestation scientifique :
2014-04-08
Titre de l’ouvrage :
Railways 2014, The Second International Conference on Railway Technology: Research, Development and Maintenance
Date de publication :
2014-01-01
Mot(s)-clé(s) :
TRANSPORT FERROVIAIRE
SECURITE
ANALYSE DE SYSTEMES
LOCALISATION
SYSTEME DE SECURITE ACTIVE
SATELLITE
SECURITE
ANALYSE DE SYSTEMES
LOCALISATION
SYSTEME DE SECURITE ACTIVE
SATELLITE
Discipline(s) HAL :
Sciences de l'ingénieur [physics]/Traitement du signal et de l'image [eess.SP]
Informatique [cs]/Traitement du signal et de l'image [eess.SP]
Sciences de l'ingénieur [physics]/Automatique / Robotique
Informatique [cs]/Traitement du signal et de l'image [eess.SP]
Sciences de l'ingénieur [physics]/Automatique / Robotique
Résumé en anglais : [en]
For railway positioning solutions based on GNSS (Global Navigation Satellite Systems) like the GPS (Global Positioning System) or the future Galileo, a generic model is impossible to create in regards to the signal ...
Lire la suite >For railway positioning solutions based on GNSS (Global Navigation Satellite Systems) like the GPS (Global Positioning System) or the future Galileo, a generic model is impossible to create in regards to the signal degradations in the atmosphere, the multipath effects caused by receiver near-environment, the multitude of environment configurations crossed by the train and the weak feedback of these technologies for estimated failure rates. To compensate the weakness of GNSS, it must be hybridised with other sensors to determine a position sufficiently accurate for an use in safety applications. A multitude of information sources is available about the train position. Only one position is possible. In consequence, a fusion step is necessary to combine all these sources of position. This raises some questions: Why the technology hybridisation is interesting to provide a accurate position? How the influences of sensor errors can affect the system output? Which sensors combination is the most efficient in regards to RAMS (Reliability, Availability, Maintainability and Safety) analyses required in railway safety standards? This paper proposes to focus on this last question with an analysis of different sensor architectures in order to understand how errors (propagation of failures) of one or several sensors can affect the entire positioning system. To answer to this question, a causal analysis is led based on the sensor behaviours.Lire moins >
Lire la suite >For railway positioning solutions based on GNSS (Global Navigation Satellite Systems) like the GPS (Global Positioning System) or the future Galileo, a generic model is impossible to create in regards to the signal degradations in the atmosphere, the multipath effects caused by receiver near-environment, the multitude of environment configurations crossed by the train and the weak feedback of these technologies for estimated failure rates. To compensate the weakness of GNSS, it must be hybridised with other sensors to determine a position sufficiently accurate for an use in safety applications. A multitude of information sources is available about the train position. Only one position is possible. In consequence, a fusion step is necessary to combine all these sources of position. This raises some questions: Why the technology hybridisation is interesting to provide a accurate position? How the influences of sensor errors can affect the system output? Which sensors combination is the most efficient in regards to RAMS (Reliability, Availability, Maintainability and Safety) analyses required in railway safety standards? This paper proposes to focus on this last question with an analysis of different sensor architectures in order to understand how errors (propagation of failures) of one or several sensors can affect the entire positioning system. To answer to this question, a causal analysis is led based on the sensor behaviours.Lire moins >
Langue :
Anglais
Comité de lecture :
Oui
Audience :
Non spécifiée
Vulgarisation :
Non
Projet ANR :
Collections :
Source :
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