Skip to Main content Skip to Navigation
New interface
Journal articles

Enhancing the spatial resolution for wire fault detection systems using multi-carrier signals

Abstract : Recently, the world is witnessing a vast daily development in technology accompanied with more and more complex electronic systems. They are hosting cumulated lengths of electrical cables that are subject one day or another to the occurrence of wiring faults. Accordingly, wire diagnosis became essentially important for ensuring safety, security, integrity, and optimal performance. On the other hand, the emergence of sensor networks and connected objects has created the need for embedded and non invasive fault diagnosis solutions. Notably, multi-carrier reflectometry methods have shown promising and efficient results in locating upcoming defects on wires in an online manner. Nevertheless, their precision stays within the physical limits of their components, especially the sampling frequency of their analog/digital transitions. In this paper, we will propose several approaches combining multi-carrier reflectometry with phase analysis techniques to overcome this limit. Accordingly, an improvement in the precision of the fault localization and a high spatial resolution is obtained. Based on an FPGA implementation, our novel methods and the resulting systems have proven a five-time better accuracy than the state-of-the-art methods on the same platform.
Complete list of metadata

https://hal-cea.archives-ouvertes.fr/cea-03122166
Contributor : Marie-France Robbe Connect in order to contact the contributor
Submitted on : Tuesday, April 13, 2021 - 1:17:07 PM
Last modification on : Thursday, February 17, 2022 - 10:08:06 AM
Long-term archiving on: : Wednesday, July 14, 2021 - 6:01:38 PM

File

article_EstebanCabanillas_IEEE...
Files produced by the author(s)

Identifiers

Citation

Christophe Layer, Esteban Cabanillas, Moussa Kafal, Antoine Dupret. Enhancing the spatial resolution for wire fault detection systems using multi-carrier signals. IEEE Sensors Journal, 2018, 18 (23), pp.9857-9866. ⟨10.1109/JSEN.2018.2872409⟩. ⟨cea-03122166⟩

Share

Metrics

Record views

106

Files downloads

86