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A Review of the Piezoelectric Electromechanical Impedance Based Structural Health Monitoring Technique for Engineering Structures

Overview
Journal Sensors (Basel)
Publisher MDPI
Specialty Biotechnology
Date 2018 Apr 27
PMID 29695067
Citations 51
Authors
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Abstract

The birth of smart materials such as piezoelectric (PZT) transducers has aided in revolutionizing the field of structural health monitoring (SHM) based on non-destructive testing (NDT) methods. While a relatively new NDT method known as the electromechanical (EMI) technique has been investigated for more than two decades, there are still various problems that must be solved before it is applied to real structures. The technique, which has a significant potential to contribute to the creation of one of the most effective SHM systems, involves the use of a single PZT for exciting and sensing of the host structure. In this paper, studies applied for the past decade related to the EMI technique have been reviewed to understand its trend. In addition, new concepts and ideas proposed by various authors are also surveyed, and the paper concludes with a discussion of the potential directions for future works.

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References
1.
Boukabache H, Escriba C, Zedek S, Medale D, Rolet S, Fourniols J . System-on-chip integration of a new electromechanical impedance calculation method for aircraft structure health monitoring. Sensors (Basel). 2012; 12(10):13617-35. PMC: 3545584. DOI: 10.3390/s121013617. View

2.
Oliveira M, Araujo N, da Silva R, da Silva T, Epaarachchi J . Use of Savitzky-Golay Filter for Performances Improvement of SHM Systems Based on Neural Networks and Distributed PZT Sensors. Sensors (Basel). 2018; 18(1). PMC: 5796379. DOI: 10.3390/s18010152. View

3.
Hu X, Zhu H, Wang D . A study of concrete slab damage detection based on the electromechanical impedance method. Sensors (Basel). 2014; 14(10):19897-909. PMC: 4239913. DOI: 10.3390/s141019897. View

4.
Kim J, Lee C, Park S . Artificial Neural Network-Based Early-Age Concrete Strength Monitoring Using Dynamic Response Signals. Sensors (Basel). 2017; 17(6). PMC: 5492300. DOI: 10.3390/s17061319. View

5.
Yang Y, Divsholi B . Sub-frequency interval approach in electromechanical impedance technique for concrete structure health monitoring. Sensors (Basel). 2011; 10(12):11644-61. PMC: 3231059. DOI: 10.3390/s101211644. View