Fault detection and localization in Y-shaped ...
Document type :
Communication dans un congrès avec actes
Title :
Fault detection and localization in Y-shaped network through power line communication
Author(s) :
Abdelkarim, Abdelkarim [Auteur]
Université de Lille
Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 [IEMN]
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Atoui, Mohamed Amine [Auteur]
Université de Lille
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Degardin, Virginie [Auteur]
Université de Lille
Télécommunication, Interférences et Compatibilité Electromagnétique - IEMN [TELICE - IEMN]
Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 [IEMN]
Cocquempot, Vincent [Auteur]
Université de Lille
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Université de Lille
Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 [IEMN]
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Atoui, Mohamed Amine [Auteur]
Université de Lille
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Degardin, Virginie [Auteur]

Université de Lille
Télécommunication, Interférences et Compatibilité Electromagnétique - IEMN [TELICE - IEMN]
Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 [IEMN]
Cocquempot, Vincent [Auteur]

Université de Lille
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Conference title :
5th International Conference on Control and Fault-Tolerant Systems
City :
Saint-Raphaël
Country :
France
Start date of the conference :
2021-09-29
English keyword(s) :
Fault detection and Isolation
Communication networks
Soft fault
Power line communication
Communication networks
Soft fault
Power line communication
HAL domain(s) :
Physique [physics]
Sciences de l'ingénieur [physics]/Automatique / Robotique
Sciences de l'ingénieur [physics]/Automatique / Robotique
English abstract : [en]
The massive deployment of electronic components in various transportation systems has increased the complexity of their embedded networks. Power line communication is a good candidate for reducing cable bundles in these ...
Show more >The massive deployment of electronic components in various transportation systems has increased the complexity of their embedded networks. Power line communication is a good candidate for reducing cable bundles in these systems. Even if the number of cables is reduced, these cables tend to encounter faults that can lead to total system failure. Therefore, it is critical to design and implement an effective soft fault detection system. In this paper, a Y-shaped network consisting of one source and two receivers is studied. A soft fault, whichcan be caused by a localized degradation of the cable quality, is represented by a series resistance. The transmission transfer function measured at each receiver is monitored. A new health indicator inspired by the classical cable chain matrix model is proposed. This indicator is calculated at each receiver. A residual based on the calculated indicator is then used along with a preconstructed topology dependent signature matrix to detect a soft fault and to locate the affected branch. Real data extracted from a test bench are used to validate ourapproach. The results confirm the ability to use Power Line communication systems for diagnostic purposes in addition to their initial implementation purpose.Show less >
Show more >The massive deployment of electronic components in various transportation systems has increased the complexity of their embedded networks. Power line communication is a good candidate for reducing cable bundles in these systems. Even if the number of cables is reduced, these cables tend to encounter faults that can lead to total system failure. Therefore, it is critical to design and implement an effective soft fault detection system. In this paper, a Y-shaped network consisting of one source and two receivers is studied. A soft fault, whichcan be caused by a localized degradation of the cable quality, is represented by a series resistance. The transmission transfer function measured at each receiver is monitored. A new health indicator inspired by the classical cable chain matrix model is proposed. This indicator is calculated at each receiver. A residual based on the calculated indicator is then used along with a preconstructed topology dependent signature matrix to detect a soft fault and to locate the affected branch. Real data extracted from a test bench are used to validate ourapproach. The results confirm the ability to use Power Line communication systems for diagnostic purposes in addition to their initial implementation purpose.Show less >
Language :
Anglais
Peer reviewed article :
Oui
Audience :
Internationale
Popular science :
Non
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