Chebyshev descriptors for SHM with acoustic emission and acousto ultrasonics. Issue 3 (12th August 2014)

• Record Type: Journal Article
• Authors: Crivelli, Davide; Eaton, Mark; Pearson, Matthew; Holford, Karen; Pullin, Rhys
• Editors: Mario Guagliano and Professor Spiros Pantelakis, Professor
• Is Part Of: International journal of structural integrity. Volume 5:Issue 3(2014)
• Page Start: 202
• Page End: 213
• Publication Date: 2014-08-12
• Subjects: Structural health monitoring -- Acoustic emission -- Acousto-ultrasonics -- Chebyshev moments -- Damage detection -- Wavelets; Structural engineering -- Research -- Periodicals; 620.11205
• DOI: 10.1108/IJSI-04-2014-0013
• Languages: English
• ISSNs: 1757-9864

Abstract

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.