Multi-Frequency TR-MUSIC Processing to Locate Soft Faults in Cables Subject to Noise
| Autor: | Moussa Kafal, Andrea Cozza |
|---|---|
| Přispěvatelé: | Laboratoire Fiabilité et Intégration de Capteurs (LFIC), Département Métrologie Instrumentation & Information (DM2I), Laboratoire d'Intégration des Systèmes et des Technologies (LIST (CEA)), Direction de Recherche Technologique (CEA) (DRT (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Direction de Recherche Technologique (CEA) (DRT (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay-Laboratoire d'Intégration des Systèmes et des Technologies (LIST (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay, Laboratoire Génie électrique et électronique de Paris (GeePs), Université Paris-Sud - Paris 11 (UP11)-CentraleSupélec-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Laboratoire d'Intégration des Systèmes et des Technologies (LIST), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay-Laboratoire d'Intégration des Systèmes et des Technologies (LIST), Université Paris-Sud - Paris 11 (UP11)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-Sorbonne Université (SU) |
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
single frequency
complex wire network Computer science diagnosis Testing 02 engineering and technology Fault detection and isolation reflectrometry Signal-to-noise ratio [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing 0202 electrical engineering electronic engineering information engineering cable Wideband Instrumentation Image resolution Time-Reversal multiple signal classification (TR-MUSIC) Signal processing Signal to noise ratio Bandwidth (signal processing) Circuit faults transmission sub-millimeter location accuracy [SPI.ELEC]Engineering Sciences [physics]/Electromagnetism Harmonic Gravitational singularity singularities Fault detection power cables defect Acoustics spectrum analysis ghost position reflection data Bandwidth single continuous-wave excitation noise effect fault location Electrical and Electronic Engineering signal processing signal classification Signal resolution soft fault 020208 electrical & electronic engineering harmonic signals radar signal processing ghost fault multiple soft faults Additive noise multifrequency processing Excitation transferometry |
| Zdroj: | IEEE Transactions on Instrumentation and Measurement IEEE Transactions on Instrumentation and Measurement, 2020, 69 (2), pp.1-8. ⟨10.1109/TIM.2019.2896369⟩ IEEE Transactions on Instrumentation and Measurement, Institute of Electrical and Electronics Engineers, 2020, 69 (2), pp.1-8. ⟨10.1109/TIM.2019.2896369⟩ |
| ISSN: | 0018-9456 |
| Popis: | International audience; Time-Reversal multiple signal classification (TR-MUSIC) has recently been shown to be an effective technique to locate multiple soft faults in wire networks, thanks to its sub-millimeter location accuracy. TR-MUSIC processes transmission and reflection data measured at a single frequency into a function of space, the pseudo spectrum, expected to present singularities only at a fault position. At frequencies high enough, the spatial periodicity that comes with the propagation of harmonic signals leads to multiples such singularities, of which only one represents the fault position, while the remaining are ghosts faults. TR-MUSIC was therefore introduced using a single continuous-wave excitation at frequencies low enough to avoid ghosts, an approach suitable only to noiseless configurations. This paper explores the effects of noise on TR-MUSIC fault location by first highlighting its high sensitivity to noise at low frequency. A potentially lower sensitivity is shown to exist at high frequencies, where ghosts positions are found. A multi-frequency processing is introduced, allowing at the same time to solve the ambiguity in the fault position and to effectively control the impact of noise on its location accuracy. The proposed processing is shown to reinstate precise super-resolved estimates of fault locations even for signal-to-noise ratios as low as 5 dB, without requiring to the use of wide-band signals. Index Terms-Fault detection, fault location, soft faults, complex wire networks, additive noise. |
| Databáze: | OpenAIRE |
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