Reference-free damage detection by means of wavelet transform and empirical mode decomposition applied to Lamb waves

Guided ultrasonic waves are increasingly used in all those structural health monitoring applications that benefit from built-in transduction, moderately large inspection ranges, and high sensitivity to small flaws. This article describes a monitoring system based on the generation and detection of the guided ultrasonic waves from an array of sparse transducers. In a round-robin manner, ultrasonic waves are generated and measured from all possible different pairs of excitation and sensing transducers. The ultrasonic signals are then processed using continuous wavelet transform and empirical mode decomposition to extract few damage-sensitive features that enable the detection and localization of damage. With respect to most of the existing guided ultrasonic wave–based methods, the proposed approach does not require to record data from a pristine structure (baseline data), and damage is inferred by examining the selected features obtained from all the possible combinations of actuator–sensor pairs of the array. In this study, the method is validated using commercial finite element software to model the presence of 10 ultrasonic transducers bonded onto an aluminum plate. The results are promising and ongoing studies are focusing on the experimental validation and the application to other waveguides.

[1]  P. Cawley,et al.  A two-dimensional Fourier transform method for the measurement of propagating multimode signals , 1991 .

[2]  Wang Qiang,et al.  Baseline-free Imaging Method based on New PZT Sensor Arrangements , 2009 .

[3]  Ming L. Wang,et al.  A Monolithic Interdigitated PVDF Transducer for Lamb Wave Inspection , 2009 .

[4]  Hoon Sohn,et al.  Reference-free impedance-based crack detection in plates , 2011 .

[5]  Peter Cawley,et al.  The excitation of Lamb waves in pipes using dry-coupled piezoelectric transducers , 1996 .

[6]  Aboelmagd Noureldin,et al.  Wavelet Transform for Structural Health Monitoring: A Compendium of Uses and Features , 2006 .

[7]  Joseph L. Rose,et al.  Active health monitoring of an aircraft wing with embedded piezoelectric sensor/actuator network: I. Defect detection, localization and growth monitoring , 2007 .

[8]  Dong Wang,et al.  Probabilistic Damage Identification Based on Correlation Analysis Using Guided Wave Signals in Aluminum Plates , 2010 .

[9]  Shuo Ma,et al.  Hilbert-Huang transform analysis of dynamic and earthquake motion recordings , 2003 .

[10]  Constantinos Soutis,et al.  Detection of Low-velocity Impact Damage in Composite Plates using Lamb Waves , 2004 .

[11]  Hoon Sohn,et al.  Reference-free crack detection using transfer impedances , 2010 .

[12]  Dong Wang,et al.  A Probabilistic Diagnostic Algorithm for Identification of Multiple Notches Using Digital Damage Fingerprints (DDFs) , 2009 .

[13]  Lin Ye,et al.  Time-domain Analyses and Correlations of Lamb Wave Signals for Damage Detection in a Composite Panel of Multiple Stiffeners , 2009 .

[14]  Dong Wang,et al.  A damage diagnostic imaging algorithm based on the quantitative comparison of Lamb wave signals , 2010 .

[15]  C. Farrar,et al.  Health Monitoring of UAV Wing Skin-to-spar Joints using Guided Waves and Macro Fiber Composite Transducers , 2007 .

[16]  Joseph L. Rose,et al.  A comparison of embedded sensor Lamb wave ultrasonic tomography approaches for material loss detection , 2006 .

[17]  Francesco Lanza di Scalea,et al.  Wavelet-based outlier analysis for guided wave structural monitoring: Application to multi-wire strands , 2007 .

[18]  Zhongqing Su,et al.  A built-in active sensor network for health monitoring of composite structures , 2006 .

[19]  Tiziana D'Orazio,et al.  Identification of Defective Areas in Composite Materials by Bivariate EMD Analysis of Ultrasound , 2012, IEEE Transactions on Instrumentation and Measurement.

[20]  Piervincenzo Rizzo,et al.  Ultrasonic guided waves for nondestructive evaluation/structural health monitoring of trusses , 2010 .

[21]  J. Saniie,et al.  Application of Hilbert-Huang transform for ultrasonic nondestructive evaluation , 2008, 2008 IEEE Ultrasonics Symposium.

[22]  Laurence J. Jacobs,et al.  Modeling elastic wave propagation in waveguides with the finite element method , 1999 .

[23]  Marek Krawczuk,et al.  Damage identification by wavelet analysis , 2008 .

[24]  Massimo Ruzzene,et al.  Baseline-free guided wave imaging via adaptive source removal , 2012 .

[25]  Peter W. Tse,et al.  Extraction of patch-induced Lamb waves using a wavelet transform , 2004 .

[26]  Daniel J. Inman,et al.  Reference-free damage detection using instantaneous baseline measurements , 2009 .

[27]  G. Tomlinson,et al.  Wavelet signal processing for enhanced Lamb-wave defect detection in composite plates using optical fiber detection , 1997 .

[28]  Daubechies,et al.  Ten Lectures on Wavelets Volume 921 , 1992 .

[29]  Chiman Kwan,et al.  Active health monitoring of an aircraft wing with an embedded piezoelectric sensor/actuator network: II. Wireless approaches , 2007 .

[30]  P. Wilcox,et al.  Evaluation of the damage detection capability of a sparse-array guided-wave SHM system applied to a complex structure under varying thermal conditions , 2009, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control.

[31]  Ivan Bartoli,et al.  Modeling guided wave propagation with application to the long-range defect detection in railroad tracks , 2005 .

[32]  Carlos E. S. Cesnik,et al.  Review of guided-wave structural health monitoring , 2007 .

[33]  S. Grondel,et al.  Damage assessment in composites by Lamb waves and wavelet coefficients , 2003 .

[34]  V. Giurgiutiu.  Tuned Lamb Wave Excitation and Detection with Piezoelectric Wafer Active Sensors for Structural Health Monitoring , 2005 .

[35]  Joseph L. Rose,et al.  Ultrasonic Guided Wave Imaging Techniques in Structural Health Monitoring , 2010 .

[36]  Salvatore Salamone,et al.  A probabilistic framework for acoustic emission source localization in plate-like structures , 2012 .

[37]  Hoon Sohn,et al.  Time reversal active sensing for health monitoring of a composite plate , 2007 .

[38]  Chunguang Xu,et al.  A new ultrasonic guided wave signal processing method for UNDE of laminated composite material , 2010, 2010 International Conference on Mechanic Automation and Control Engineering.

[39]  Xinjun Wu,et al.  Signal processing for the guided wave test based on the empirical mode decomposition , 2011, 2011 International Conference on Electrical and Control Engineering.

[40]  Srinivasan Gopalakrishnan,et al.  Rapid localization of damage using a circular sensor array and Lamb wave based triangulation , 2010 .

[41]  Hoon Sohn,et al.  Combination of a Time Reversal Process and a Consecutiv Outlier Analysis for Baseline-free Damage Diagnosis , 2006 .

[42]  Nicolò Speciale,et al.  Prediction of pulse dispersion in tapered waveguides , 2010 .

[43]  O. Tumsys,et al.  Ultrasonic detection of defects in strongly attenuating structures using the Hilbert–Huang transform , 2008 .

[44]  Piervincenzo Rizzo,et al.  Feature Extraction for Defect Detection in Strands by Guided Ultrasonic Waves , 2006 .

[45]  N. Huang,et al.  The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis , 1998, Proceedings of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences.

[46]  Que Pei-wen,et al.  Ultrasonic defect detection of a petroleum pipeline in a viscoelastic medium , 2006 .

[47]  Piervincenzo Rizzo,et al.  Semi-analytical formulation for the guided waves-based reconstruction of elastic moduli , 2011 .