Acoustic emission localization in plates with dispersion and reverberations using sparse PZT sensors in passive mode

A strategy for the localization of acoustic emissions (AE) in plates with dispersion and reverberation is proposed. The procedure exploits signals received in passive mode by sparse conventional piezoelectric transducers and a three-step processing framework. The first step consists in a signal dispersion compensation procedure, which is achieved by means of the warped frequency transform. The second step concerns the estimation of the differences in arrival time (TDOA) of the acoustic emission at the sensors. Complexities related to reflections and plate resonances are overcome via a wavelet decomposition of cross-correlating signals where the mother function is designed by a synthetic warped cross-signal. The magnitude of the wavelet coefficients in the warped distance?frequency domain, in fact, precisely reveals the TDOA of an acoustic emission at two sensors. Finally, in the last step the TDOA data are exploited to locate the acoustic emission source through hyperbolic positioning. The proposed procedure is tested with a passive network of three/four piezo-sensors located symmetrically and asymmetrically with respect to the plate edges. The experimentally estimated AE locations are close to those theoretically predicted by the Cram?r?Rao lower bound.

[1]  Josep Sala-Alvarez,et al.  Average performance analysis of circular and hyperbolic geolocation , 2006, IEEE Transactions on Vehicular Technology.

[2]  P. H. White Cross Correlation in Structural Systems: Dispersion and Nondispersion Waves , 1969 .

[3]  P.D. Wilcox,et al.  A rapid signal processing technique to remove the effect of dispersion from guided wave signals , 2003, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control.

[4]  Christian Boller,et al.  Health Monitoring of Aerospace Structures , 2003 .

[5]  Darryll J. Pines,et al.  Piezoelectric-paint-based two-dimensional phased sensor arrays for structural health monitoring of thin panels , 2010 .

[6]  Junji Takatsubo,et al.  Development of a remote impact damage identification system , 2005 .

[7]  L. De Marchi,et al.  Ultrasonic guided-waves characterization with Warped Frequency Transforms , 2008, 2008 IEEE Ultrasonics Symposium.

[8]  Nicolò Speciale,et al.  A passive monitoring technique based on dispersion compensation to locate impacts in plate-like structures , 2011 .

[9]  D. Hertz,et al.  Time delay estimation by generalized cross correlation methods , 1984 .

[10]  Rolf Janovsky,et al.  Impact sensor network for detection of hypervelocity impacts on spacecraft , 2007 .

[11]  Grabec,et al.  Location of acoustic emission sources generated by air flow , 2000, Ultrasonics.

[12]  F. Chang,et al.  Identifying Impacts in Composite Plates with Piezoelectric Strain Sensors, Part I: Theory , 1998 .

[13]  D. Marquardt An Algorithm for Least-Squares Estimation of Nonlinear Parameters , 1963 .

[14]  Fu-Kuo Chang,et al.  Sensor Network Optimization for a Passive Sensing Impact Detection Technique , 2010 .

[15]  Fu-Kuo Chang,et al.  Identifying Impacts in Composite Plates with Piezoelectric Strain Sensors, Part II: Experiment , 1998 .

[16]  Ivan Bartoli,et al.  Modeling wave propagation in damped waveguides of arbitrary cross-section , 2006, SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring.

[17]  K. C. Ho,et al.  A simple and efficient estimator for hyperbolic location , 1994, IEEE Trans. Signal Process..

[18]  Francesco Ciampa,et al.  Acoustic emission source localization and velocity determination of the fundamental mode A0 using wavelet analysis and a Newton-based optimization technique , 2010 .

[19]  D. Akopian,et al.  Validation of HDOP Measure for Impact Detection in Sensor Network-Based Structural Health Monitoring , 2009, IEEE Sensors Journal.

[20]  Eric B. Flynn,et al.  A Bayesian approach to optimal sensor placement for structural health monitoring with application to active sensing , 2010 .

[21]  Lin Ye,et al.  Guided Lamb waves for identification of damage in composite structures: A review , 2006 .

[22]  Maximo Cobos,et al.  A Modified SRP-PHAT Functional for Robust Real-Time Sound Source Localization With Scalable Spatial Sampling , 2011, IEEE Signal Processing Letters.

[23]  Nicolò Speciale,et al.  Fast Computation of Frequency Warping Transforms , 2010, IEEE Transactions on Signal Processing.

[24]  Robert E. Seydel Impact identification of stiffened composite panels , 2000 .

[25]  Keith Worden,et al.  Fail-safe sensor distributions for impact detection in composite materials , 2000 .

[26]  Tribikram Kundu,et al.  Detection of the point of impact on a stiffened plate by the acoustic emission technique , 2009 .

[27]  V. Giurgiutiu,et al.  In situ 2-D piezoelectric wafer active sensors arrays for guided wave damage detection. , 2008, Ultrasonics.

[28]  Fu-Kuo Chang,et al.  Impact identification of stiffened composite panels: I. System development , 2001 .

[29]  Tribikram Kundu,et al.  Ultrasonic Nondestructive Evaluation : Engineering and Biological Material Characterization , 2003 .

[30]  P.D. Wilcox,et al.  Omni-directional guided wave transducer arrays for the rapid inspection of large areas of plate structures , 2003, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control.

[31]  Max Deffenbaugh,et al.  The relationship between spherical and hyperbolic positioning , 1996, OCEANS 96 MTS/IEEE Conference Proceedings. The Coastal Ocean - Prospects for the 21st Century.

[32]  M Castaings,et al.  Prediction and measurement of nonpropagating Lamb modes at the free end of a plate when the fundamental antisymmetric mode A0 is incident. , 2003, The Journal of the Acoustical Society of America.

[33]  W. Staszewski,et al.  Health monitoring of aerospace composite structures – Active and passive approach , 2009 .