Health Monitoring of Metallic Structures with Electromechanical Impedance and Piezoelectric Sensors

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2019
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Abstract
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.
Reference Key
zhu2019nanomaterialshealth Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Jianjian Zhu;Yishou Wang;Xinlin Qing;Zhu, Jianjian;Wang, Yishou;Qing, Xinlin;
Journal Nanomaterials
Year 2019
DOI
10.3390/nano9091268
URL
https://www.mdpi.com/2079-4991/9/9/1268##stats_id
Keywords
health monitoring electromechanical impedance metallic structures piezoelectric sensors signatures extraction National Center for Biotechnology Information NCBI NLM MEDLINE pubmed abstract nih national institutes of health national library of medicine pmid:31492015 pmc6781029 doi:10.3390/nano9091268 jianjian zhu yishou wang xinlin qing

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