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Chebyshev descriptors for SHM with acoustic emission and acousto ultrasonics

Crivelli, Davide ORCID:, Eaton, Mark ORCID:, Pearson, Matthew R. ORCID:, Holford, Karen Margaret ORCID: and Pullin, Rhys ORCID: 2014. Chebyshev descriptors for SHM with acoustic emission and acousto ultrasonics. International Journal of Structural Integrity 5 (3) , pp. 202-213. 10.1108/IJSI-04-2014-0013

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Purpose – The purpose of this paper is to study the feasibility on the use of alternative parameters for representing acoustic emission (AE) and acousto-ultrasonic (AU) signals, using a wavelet-based approach and the computation of Chebyshev moments. Design/methodology/approach – Two tests were performed, one on AE artificial signals generated on a CFRP plate and one on an AU setup used for actively detecting impact damage. The waveforms were represented using a data reduction technique based on the Daubechies wavelet and an image processing technique using Chebyshev moments approximation, to get 32 descriptors for each waveform. Findings – The use of such descriptors allowed in the AE case to verify that the moments are similar when the waveforms are similar; in the AU setup the correlation coefficient of the descriptors with respect to a reference data set was found to be linked to the delimitation size. Practical implications – Such a data reduction while retaining all the useful information will be positive for wireless sensor networks, where power consumption during data transmission is key. With having to send only a reliable set of descriptors and not an entire waveform, the power consumption is believed to be reduced. Originality/value – This paper is a preliminary study that fulfils a need for a more reliable data reduction for ultrasonic transient signals, such as those used in AE and AU.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Engineering
Subjects: T Technology > TJ Mechanical engineering and machinery
Uncontrolled Keywords: Structural health monitoring, Acoustic emission, Acousto-ultrasonics, Chebyshev moments, Damage detection, Wavelets
Additional Information: PDF uploaded in accordance with publisher's policies at (accessed 11.03.16).
Publisher: Emerald
ISSN: 1757-9864
Date of First Compliant Deposit: 30 March 2016
Last Modified: 05 Jan 2024 06:13

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