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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

New signal processing approach for structural health monitoring in noisy environments based on impedance measurements

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Author(s):
de Castro, Bruno Albuquerque [1] ; Baptista, Fabricio Guimaraes [1] ; Ciampa, Francesco [2]
Total Authors: 3
Affiliation:
[1] Sao Paulo State Univ, UNESP, Sch Engn, Dept Elect Engn, BR-17033360 Bauru, SP - Brazil
[2] Univ Surrey, Dept Mech Engn Sci, Guildford GU2 7XH, Surrey - England
Total Affiliations: 2
Document type: Journal article
Source: MEASUREMENT; v. 137, p. 155-167, APR 2019.
Web of Science Citations: 4
Abstract

The electro-mechanical impedance (EMI) technique is one of the most promising structural health monitoring (SHM) approaches for material damage detection, which is based on impedance measurements of low-cost piezoelectric transducers. However, numerous practical issues such as signal noise effects caused by environmental conditions can alter signal measurements and limit the capabilities of the EMI technique when the characterization of damage is performed using conventional basic indices. Therefore, this paper proposes a new index for structure feature extraction based on the cross-correlation signal processing technique that can be applied in real noisy environment. The proposed index was evaluated in the frequency domain, where the damage detection is performed directly on the electrical impedance measurements of the transducer, as well as on the time domain, which is based on the wavelet transform applied to the transducer response signal. Experimental tests were carried out on a damaged aluminium structure subject to various signal noise levels. Experimental results revealed that the proposed approach for material feature extraction under noisy environments proved to be effective for detecting damage, thus enhancing the reliability and expanding the applicability of the EMI technique. (C) 2019 Elsevier Ltd. All rights reserved. (AU)

FAPESP's process: 15/24903-5 - Structural Health Monitoring Systems Based on the Electromechanical Impedance in Applications with Low Signal-to-Noise Ratio
Grantee:Bruno Albuquerque de Castro
Support Opportunities: Scholarships in Brazil - Doctorate
FAPESP's process: 15/02500-6 - Monitoring systems based on the electromechanical impedance technique: new trends and challenges
Grantee:Fabricio Guimarães Baptista
Support Opportunities: Regular Research Grants