Title :
Frequency warping compressive sensing for structural monitoring of aircraft wing
Author :
Perelli, A. ; Harput, Sevan ; De Marchi, Luca ; Freear, Steven
Author_Institution :
Dept. of Electr. & Inf. Eng., Univ. of Bologna, Bologna, Italy
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.
Keywords :
aerospace components; aerospace computing; compressed sensing; condition monitoring; cracks; inspection; inverse transforms; piezoelectric devices; sensors; signal representation; signal sampling; structural engineering; surface acoustic waves; Lamb wave inspection systems; Lamb waves simulation; PZFlex software; SHM system development; WFT; aircraft wing inspection; aluminum wing specimen; automatic detection procedure; compressive sensing acquisition; corrosion monitoring; cracks; defect detection; defect localization performance enhancement; defect-induced reflections; dispersive ultrasonic guided waves; frequency warped basis; frequency warping compressive sensing; in situ health monitoring system; inverse warped frequency transform; low rate sampling; piezoelecric discs; piezoelectric sensors; sparse representation; structural monitoring; ultrasonic guided wave structural health monitoring system; Lead; Aircraft wing; Comt pressive sensing; Defect detection; Lamb waves; Warped frequency transform;
Conference_Titel :
Digital Signal Processing (DSP), 2013 18th International Conference on
Conference_Location :
Fira
DOI :
10.1109/ICDSP.2013.6622668