Soft Fault Diagnosis in Wire Networks Using Time Reversal Concept and Subspace Methods Soft

Moussa Kafal (1) , Jaume Benoit (1) , Andrea Cozza (2) , Lionel Pichon (2)

1 LFIC - Laboratoire Fiabilité et Intégration de Capteurs
2 GeePs - Laboratoire Génie électrique et électronique de Paris

Time-reversal (TR) techniques recently adopted from acoustics to guided wave propagation along transmission lines have proven to be effectual in locating soft faults in different wire network configurations. In this paper, we apply the TR multiple signal classification (TR-MUSIC) technique to cable testing. TR-MUSIC is shown to provide spatial resolutions in the mm range, while using continuous-wave test signals. On the contrary, the well known time-domain reflectometry (TDR) methods would require large bandwidths in the order of gigahertz for a similar performance. The TR-MUSIC accuracy is demonstrated experimentally for locating both single and multiple soft faults in several cable networks.

Keywords: cable; cable testing; diagnosis; defect; soft fault; fault location; reflectrometry; transferometry; Time-reversal; guided wave propagation; transmission line; complex wire network; cable network; multiple signal classification; signal processing; statistical analysis; classification

Domains: Electromagnetism; Signal and Image Processing

Moussa Kafal, Jaume Benoit, Andrea Cozza, Lionel Pichon. Soft Fault Diagnosis in Wire Networks Using Time Reversal Concept and Subspace Methods Soft. International journal of digital information and wireless communications (IJDIWC), 2018, 8 (2), pp.85-89. ⟨10.17781/P002411⟩. ⟨hal-01802225⟩