Cargando…
Health Monitoring of Metallic Structures with Electromechanical Impedance and Piezoelectric Sensors
In order to monitor the health condition of structures in a more sensitive and accurate way, a novel and universal methodology called direct coupling mechanical impedance (DCMI) for characteristic signatures extraction is presented in this paper. This methodology is used to obtain DCMI signatures fr...
Autores principales: | , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6781029/ https://www.ncbi.nlm.nih.gov/pubmed/31492015 http://dx.doi.org/10.3390/nano9091268 |
_version_ | 1783457282522087424 |
---|---|
author | Zhu, Jianjian Wang, Yishou Qing, Xinlin |
author_facet | Zhu, Jianjian Wang, Yishou Qing, Xinlin |
author_sort | Zhu, Jianjian |
collection | PubMed |
description | In order to monitor the health condition of structures in a more sensitive and accurate way, a novel and universal methodology called direct coupling mechanical impedance (DCMI) for characteristic signatures extraction is presented in this paper. This methodology is used to obtain DCMI signatures from measured raw signatures (RSs) with the surface-bonded piezoelectric sensors (PZT), which is developed from a pertinent electromechanical impedance (EMI) theoretical model for surface-bonded circular PZT. The proposed DCMI methodology has the advantages of simple calculation and magnifying the signatures when compared with the existing methods. Combining the extracted DCMI signatures with the root mean square deviation (RMSD) index is able to quantify the correlation between the health condition and the signatures variation more effectively. To verify the effectiveness of proposed DCMI methodology, experiments are conducted on aluminum plates and a part of fuselage in detail. The experimental results sufficiently demonstrate that the presented universal DCMI methodology possesses better sensitivity than the raw signatures when utilized for evaluating the health condition of metallic structures, including those made of metal-matrix nanomaterials. |
format | Online Article Text |
id | pubmed-6781029 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-67810292019-10-30 Health Monitoring of Metallic Structures with Electromechanical Impedance and Piezoelectric Sensors Zhu, Jianjian Wang, Yishou Qing, Xinlin Nanomaterials (Basel) Article In order to monitor the health condition of structures in a more sensitive and accurate way, a novel and universal methodology called direct coupling mechanical impedance (DCMI) for characteristic signatures extraction is presented in this paper. This methodology is used to obtain DCMI signatures from measured raw signatures (RSs) with the surface-bonded piezoelectric sensors (PZT), which is developed from a pertinent electromechanical impedance (EMI) theoretical model for surface-bonded circular PZT. The proposed DCMI methodology has the advantages of simple calculation and magnifying the signatures when compared with the existing methods. Combining the extracted DCMI signatures with the root mean square deviation (RMSD) index is able to quantify the correlation between the health condition and the signatures variation more effectively. To verify the effectiveness of proposed DCMI methodology, experiments are conducted on aluminum plates and a part of fuselage in detail. The experimental results sufficiently demonstrate that the presented universal DCMI methodology possesses better sensitivity than the raw signatures when utilized for evaluating the health condition of metallic structures, including those made of metal-matrix nanomaterials. MDPI 2019-09-05 /pmc/articles/PMC6781029/ /pubmed/31492015 http://dx.doi.org/10.3390/nano9091268 Text en © 2019 by the authors. 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 (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Zhu, Jianjian Wang, Yishou Qing, Xinlin Health Monitoring of Metallic Structures with Electromechanical Impedance and Piezoelectric Sensors |
title | Health Monitoring of Metallic Structures with Electromechanical Impedance and Piezoelectric Sensors |
title_full | Health Monitoring of Metallic Structures with Electromechanical Impedance and Piezoelectric Sensors |
title_fullStr | Health Monitoring of Metallic Structures with Electromechanical Impedance and Piezoelectric Sensors |
title_full_unstemmed | Health Monitoring of Metallic Structures with Electromechanical Impedance and Piezoelectric Sensors |
title_short | Health Monitoring of Metallic Structures with Electromechanical Impedance and Piezoelectric Sensors |
title_sort | health monitoring of metallic structures with electromechanical impedance and piezoelectric sensors |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6781029/ https://www.ncbi.nlm.nih.gov/pubmed/31492015 http://dx.doi.org/10.3390/nano9091268 |
work_keys_str_mv | AT zhujianjian healthmonitoringofmetallicstructureswithelectromechanicalimpedanceandpiezoelectricsensors AT wangyishou healthmonitoringofmetallicstructureswithelectromechanicalimpedanceandpiezoelectricsensors AT qingxinlin healthmonitoringofmetallicstructureswithelectromechanicalimpedanceandpiezoelectricsensors |