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Chebyshev descriptors for SHM with acoustic emission and acousto ultrasonics

Crivelli, Davide, Eaton, Mark, Pearson, Matthew R., Holford, Karen Margaret and Pullin, Rhys 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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Abstract

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 http://www.sherpa.ac.uk/romeo/issn/1757-9864/ (accessed 11.03.16).
Publisher: Emerald
ISSN: 1757-9864
Last Modified: 19 Jun 2018 17:53
URI: http://orca.cf.ac.uk/id/eprint/66565

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