Preliminary Acoustic Study of 3D Localization of Buried Polyethylene Pipe
| Autor: | William Xerri, Gineth Saracco, Ghislain Gassier, Laurent Zomero, Philippe Picon |
|---|---|
| Přispěvatelé: | Centre européen de recherche et d'enseignement des géosciences de l'environnement (CEREGE), Aix Marseille Université (AMU)-Institut national des sciences de l'Univers (INSU - CNRS)-Collège de France (CdF (institution))-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD), CONTRAT CIFRE, Contrat CIFRE MADE SA (La farlede), CEREGE (Aix en Provence) & GRT-Gaz, Institut de Recherche pour le Développement (IRD)-Aix Marseille Université (AMU)-Collège de France (CdF (institution))-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), ANRT, CONTRAT CIFRE |
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
[SPI.ACOU]Engineering Sciences [physics]/Acoustics [physics.class-ph]
[SPI.GCIV]Engineering Sciences [physics]/Civil Engineering weakly heterogeneous medium [SDU.STU.GP]Sciences of the Universe [physics]/Earth Sciences/Geophysics [physics.geo-ph] [SDE.IE]Environmental Sciences/Environmental Engineering buried pipe inverse problem acoustic method [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing |
| Zdroj: | REVIEW OF PROGRESS IN QUANTITATIVE NONDESTRUCTIVE EVALUATION REVIEW OF PROGRESS IN QUANTITATIVE NONDESTRUCTIVE EVALUATION, 2021, Proceedings of the ASME 2021: 48th Annual Review of Progress in Quantitative Nondestructive Evaluation, 8 p REVIEW OF PROGRESS IN QUANTITATIVE NONDESTRUCTIVE EVALUATION, 2021, Proceedings of the ASME 2021: 48th Annual Review of Progress in Quantitative Nondestructive Evaluation, NDE for Civil Infrastructure, 8 p. ⟨10.1115/QNDE2021-74945⟩ |
| Popis: | Acoustic waves are commonly used to locate buried polyethylene pipes. In this preliminary study we are particularly interested in pipes depth. To obtain depth information we are moving towards a multi-sensor solution. Several estimators are implemented and tested on real data. A depth estimator according to the relative delays between sensors is proposed. We compare two relative delays estimators : the method using the cross-correlation and the one using the coherence function. We will verify on real measurements that the second method is much more efficient than the first one. Before discussing the results we will present another approach which consists in adapting the MUSIC (MUltiple SIgnals Classification) algorithm to our problem. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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