Cargando…
Optimal Array Design and Directive Sensors for Guided Waves DoA Estimation
The estimation of Direction of Arrival (DoA) of guided ultrasonic waves is an important task in many Structural Health Monitoring (SHM) applications. The aim is to locate sources of elastic waves which can be generated by impacts or defects in the inspected structures. In this paper, the array geome...
Autores principales: | , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8838149/ https://www.ncbi.nlm.nih.gov/pubmed/35161527 http://dx.doi.org/10.3390/s22030780 |
_version_ | 1784650054757253120 |
---|---|
author | Dibiase, Marco Mohammadgholiha, Masoud De Marchi, Luca |
author_facet | Dibiase, Marco Mohammadgholiha, Masoud De Marchi, Luca |
author_sort | Dibiase, Marco |
collection | PubMed |
description | The estimation of Direction of Arrival (DoA) of guided ultrasonic waves is an important task in many Structural Health Monitoring (SHM) applications. The aim is to locate sources of elastic waves which can be generated by impacts or defects in the inspected structures. In this paper, the array geometry and the shape of the piezo-sensors are designed to optimize the DoA estimation on a pre-defined angular sector, from acquisitions affected by noise and interference. In the proposed approach, the DoA of a wave generated by a single source is considered as a random variable that is uniformly distributed in a given range. The wave velocity is assumed to be unknown and the DoA estimation is performed by measuring the Differences in Time of Arrival (DToAs) of wavefronts impinging on the sensors. The optimization procedure of sensors positioning is based on the computation of the DoA and wave velocity parameters Cramér-Rao Matrix Bound (CRMB) with a Bayesian approach. An efficient DoA estimator is found based on the DToAs Gauss-Markov estimator for a three sensors array. Moreover, a novel directive sensor for guided waves is introduced to cancel out undesired Acoustic Sources impinging from DoAs out of the given angles range. Numerical results show the capability to filter directional interference of the novel sensor and a considerably improved DoA estimation performance provided by the optimized sensor cluster in the pre-defined angular sector, as compared to conventional approaches. |
format | Online Article Text |
id | pubmed-8838149 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-88381492022-02-13 Optimal Array Design and Directive Sensors for Guided Waves DoA Estimation Dibiase, Marco Mohammadgholiha, Masoud De Marchi, Luca Sensors (Basel) Article The estimation of Direction of Arrival (DoA) of guided ultrasonic waves is an important task in many Structural Health Monitoring (SHM) applications. The aim is to locate sources of elastic waves which can be generated by impacts or defects in the inspected structures. In this paper, the array geometry and the shape of the piezo-sensors are designed to optimize the DoA estimation on a pre-defined angular sector, from acquisitions affected by noise and interference. In the proposed approach, the DoA of a wave generated by a single source is considered as a random variable that is uniformly distributed in a given range. The wave velocity is assumed to be unknown and the DoA estimation is performed by measuring the Differences in Time of Arrival (DToAs) of wavefronts impinging on the sensors. The optimization procedure of sensors positioning is based on the computation of the DoA and wave velocity parameters Cramér-Rao Matrix Bound (CRMB) with a Bayesian approach. An efficient DoA estimator is found based on the DToAs Gauss-Markov estimator for a three sensors array. Moreover, a novel directive sensor for guided waves is introduced to cancel out undesired Acoustic Sources impinging from DoAs out of the given angles range. Numerical results show the capability to filter directional interference of the novel sensor and a considerably improved DoA estimation performance provided by the optimized sensor cluster in the pre-defined angular sector, as compared to conventional approaches. MDPI 2022-01-20 /pmc/articles/PMC8838149/ /pubmed/35161527 http://dx.doi.org/10.3390/s22030780 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Dibiase, Marco Mohammadgholiha, Masoud De Marchi, Luca Optimal Array Design and Directive Sensors for Guided Waves DoA Estimation |
title | Optimal Array Design and Directive Sensors for Guided Waves DoA Estimation |
title_full | Optimal Array Design and Directive Sensors for Guided Waves DoA Estimation |
title_fullStr | Optimal Array Design and Directive Sensors for Guided Waves DoA Estimation |
title_full_unstemmed | Optimal Array Design and Directive Sensors for Guided Waves DoA Estimation |
title_short | Optimal Array Design and Directive Sensors for Guided Waves DoA Estimation |
title_sort | optimal array design and directive sensors for guided waves doa estimation |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8838149/ https://www.ncbi.nlm.nih.gov/pubmed/35161527 http://dx.doi.org/10.3390/s22030780 |
work_keys_str_mv | AT dibiasemarco optimalarraydesignanddirectivesensorsforguidedwavesdoaestimation AT mohammadgholihamasoud optimalarraydesignanddirectivesensorsforguidedwavesdoaestimation AT demarchiluca optimalarraydesignanddirectivesensorsforguidedwavesdoaestimation |