Perelli, A, Harput, S, De Marchi, L et al. (1 more author) (2013) Frequency warping compressive sensing for structural monitoring of aircraft wing. In: 2013 18th International Conference on Digital Signal Processing, DSP 2013. 18th International Conference on Digital Signal Processing, 01-03 Jul 2013, Fira, Santorini, Greece. IEEE ISBN 9781467358057
Abstract
This work focuses on an ultrasonic guided wave structural health monitoring (SHM) system development for aircraft wing inspection. The performed work simulate small, low-cost and light-weight piezoelectric discs bonded to various parts of the aircraft wing, in a form of relatively sparse arrays, for cracks and corrosion monitoring. The piezoelectric discs take turns generating and receiving ultrasonic guided waves. The development of an in situ health monitoring system that can inspect large areas and communicate remotely to the inspector is highly computational demanding due to both the huge number of Piezoelectric sensors needed and the high sampling frequency. To address this problem, a general approach for low rate sampling is developed. Compressive Sensing (CS) has emerged as a potentially viable technique for the efficient acquisition that exploits the sparse representation of dispersive ultrasonic guided waves in the frequency warped basis. The framework is applied to lower the sampling frequency and to enhance defect localization performances of Lamb wave inspection systems. The approach is based on the inverse Warped Frequency Transform (WFT) as the sparsifying basis for the Compressive Sensing acquisition and to compensate the dispersive behaviour of Lamb waves. As a result, an automatic detection procedure to locate defect-induced reflections was demonstrated and successfully tested on simulated Lamb waves propagating in an aluminum wing specimen using PZFlex software. The proposed method is suitable for defect detection and can be easily implemented for real application to structural health monitoring.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2013, IEEE. This is an author produced version of a paper published in 18th International Conference on Digital Signal Processing. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | Aircraft wing; Compressive sensing; Defect detection; Lamb waves; Warped frequency transform |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Electronic & Electrical Engineering (Leeds) > Institute of Communication & Power Networks (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 16 Dec 2014 10:58 |
Last Modified: | 19 Dec 2022 13:29 |
Published Version: | http://dx.doi.org/10.1109/ICDSP.2013.6622668 |
Status: | Published |
Publisher: | IEEE |
Refereed: | Yes |
Identification Number: | 10.1109/ICDSP.2013.6622668 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:81849 |