Frequency warping compressive sensing for structural monitoring of aircraft wing

Alessandro Perelli, Sevan Harput, Luca De Marchi, Steven Freear

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Citations (Scopus)

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 piezoelecric 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 implemened for real application to structural health monitoring.
Original languageEnglish
Title of host publication2013 18th International Conference on Digital Signal Processing (DSP)
PublisherIEEE
Number of pages6
ISBN (Print)978-1-4673-5807-1
DOIs
Publication statusPublished - 3 Jul 2013
Event2013 18th International Conference on Digital Signal Processing (DSP) - Fira, Greece
Duration: 1 Jul 20133 Jul 2013

Conference

Conference2013 18th International Conference on Digital Signal Processing (DSP)
Period1/07/133/07/13

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