Back to Search Start Over

Bus network decomposition for fault detection and isolation through power line communication

Authors :
Abdel Karim Abdel Karim
M. Amine Atoui
Virginie Degardin
Pierre Laly
Vincent Cocquempot
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 (CRIStAL)
Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)
Télécommunication, Interférences et Compatibilité Electromagnétique - IEMN (TELICE - IEMN)
Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 (IEMN)
Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF)-JUNIA (JUNIA)
Université catholique de Lille (UCL)-Université catholique de Lille (UCL)-Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF)-JUNIA (JUNIA)
Université catholique de Lille (UCL)-Université catholique de Lille (UCL)
Plateforme de Caractérisation Multi-Physiques - IEMN (PCMP - IEMN)
This research work is done in the framework of the ELSAT2020 project which is co-financed by the European Union with the European Regional Development Fund, the French state and the Hauts-de-France Region Council
PCMP C2EM
Source :
ISA Transactions, ISA Transactions, 2023, 137, pp.492-505. ⟨10.1016/j.isatra.2023.01.023⟩
Publication Year :
2023
Publisher :
Elsevier BV, 2023.

Abstract

International audience; This paper deals with fault detection and isolation (FDI) in complex embedded wired communication networks. The considered faults are soft faults which do not prevent the communication, but may evolve into hard faults, i.e. short or open circuit. A novel FDI method based on power line communication (PLC) transmission systems is proposed. In these PLC systems, the transmission coefficients between the source and each receiver are estimated for communication purposes using orthogonal frequency division multiplexing (OFDM). Health indicators and residuals are computed by comparing the online estimated transmission coefficients with the reference coefficients. A methodology for dealing with complex networks, such as bus networks, is proposed. It is based on the decomposition of the network into several Y-shaped sub-networks. Each of these sub-networks is monitored to detect the presence of a fault. The FDI method is first validated using real data extracted from a Y-shaped network test bench. Then, the proposed approach is validated on a more complex network using realistic simulated data.

Details

ISSN :
00190578 and 18792022
Volume :
137
Database :
OpenAIRE
Journal :
ISA Transactions
Accession number :
edsair.doi.dedup.....5ee0bed6eb58774eac6d59e8362aa355