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

de Castro, Bruno Albuquerque, Baptista, Fabricio Guimarães and Ciampa, Francesco (2019) New signal processing approach for structural health monitoring in noisy environments based on impedance measurements Measurement, 137. pp. 155-167.

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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.

Item Type: Article
Divisions : Faculty of Engineering and Physical Sciences > Mechanical Engineering Sciences
Authors :
NameEmailORCID
de Castro, Bruno Albuquerque
Baptista, Fabricio Guimarães
Ciampa, Francescof.ciampa@surrey.ac.uk
Date : April 2019
DOI : 10.1016/j.measurement.2019.01.054
Uncontrolled Keywords : SHM; Impedance measurements; Signal processing; Feature extraction; Wavelet transform; Cross-correlation; Damage index
Depositing User : Clive Harris
Date Deposited : 27 Mar 2019 10:11
Last Modified : 27 Mar 2019 10:11
URI: http://epubs.surrey.ac.uk/id/eprint/850880

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