Time Reversal Applied to Multi-Carrier Reflectometry for On-line Diagnosis in Complex Wiring Systems

Wafa Ben Hassen (1) , Moussa Kafal (1) , Esteban Cabanillas (1)

1 LFIC - Laboratoire Fiabilité et Intégration de Capteurs

In wiring networks, on-line diagnosis aims at detecting and locating faults in live cables concurrently to their normal operation. Within this context, Multi-carrier Reftectometry (MCR), a reftectometry based method, not only succeeded in this mission but also permitted controlling the signal bandwidth and thus avoiding false alarms. However, it has shown to suffer from signal loss related to wiring system's attenuation, coupling and network-topology complexity. On the other hand, Time Reversal (TR) signal processing recently adapted with efficiency to wire diagnosis, has proven to boost the performance with an increased network response's complexity accompanied with a higher detection gain. In this paper, we propose a fusion between TR and MCR in a TR Multi-Carrier Reflectometry (TRMCR) method aiming at maximizing the coverage of the online diagnosis. Simulation and experimental results demonstrate that TRMCR permits to increase the peak's signature at detected impedance discontinuities in a network under test (NUT) when compared to what the standard MCR produce.

Keywords: diagnosis; fault diagnosis; On-line Cable Diagnosis; cable; Power cable; Wires; Wiring; Bandwidth; Attenuation; Impedance; defect; Reftectometry; signal bandwidth; reftectometry based method; fault location; Multi-carrier Reftectometry (MCR); signal loss; wiring system attenuation; complex network; network response; detection gain; Time Reversal; Time Reversal signal processing; signal processing; false alarm; normal operation; live cables; wiring networks; complex wiring systems; standard MCR produce; detected impedance discontinuities; online diagnosis

Domains: Electromagnetism

Wafa Ben Hassen, Moussa Kafal, Esteban Cabanillas. Time Reversal Applied to Multi-Carrier Reflectometry for On-line Diagnosis in Complex Wiring Systems. 2018 International Automatic Testing Conference (AUTOTESTCON), IEEE, Sep 2018, National Harbor, United States. pp.8532546, ⟨10.1109/AUTEST.2018.8532546⟩. ⟨cea-03049309⟩