C. Wang, J. Rose, and F. Chang, A synthetic time-reversal imaging method for structural health monitoring, Smart Materials and Structures, vol.13, issue.2, p.415, 2004.
DOI : 10.1088/0964-1726/13/2/020

J. Ihn and F. Chang, Detection and monitoring of hidden fatigue crack growth using a built-in piezoelectric sensor/actuator network: I. Diagnostics, Smart Materials and Structures, vol.13, issue.3, p.609, 2004.
DOI : 10.1088/0964-1726/13/3/020

J. Ihn and F. Chang, Detection and monitoring of hidden fatigue crack growth using a built-in piezoelectric sensor/actuator network: II. Validation using riveted joints and repair patches, Smart Materials and Structures, vol.13, issue.3, p.621, 2004.
DOI : 10.1088/0964-1726/13/3/021

Z. Su, L. Ye, and Y. Lu, Guided Lamb waves for identification of damage in composite structures: A review, Journal of Sound and Vibration, vol.295, issue.3-5, pp.753-780, 2006.
DOI : 10.1016/j.jsv.2006.01.020

B. Xu and V. Giurgiutiu, Single Mode Tuning Effects on Lamb Wave Time Reversal with??Piezoelectric Wafer Active Sensors for Structural Health Monitoring, Journal of Nondestructive Evaluation, vol.16, issue.4, pp.123-134, 2007.
DOI : 10.1007/978-1-4899-5681-1

L. Yu and V. Giurgiutiu, In situ 2-D piezoelectric wafer active sensors arrays for guided wave damage detection, Ultrasonics, vol.48, issue.2, pp.117-134, 2008.
DOI : 10.1016/j.ultras.2007.10.008

J. Michaels, array of spatially distributed ultrasonic sensors, Smart Materials and Structures, vol.17, issue.3, p.35035, 2008.
DOI : 10.1088/0964-1726/17/3/035035

N. Quaegebeur, P. Masson, and D. Langlois-demers, Dispersion-based imaging for structural health monitoring using sparse and compact arrays, Smart Materials and Structures, vol.20, issue.2, p.25005, 2011.
DOI : 10.1088/0964-1726/20/2/025005

L. Qiu, S. Yuan, and X. Zhang, A time reversal focusing based impact imaging method and its evaluation on complex composite structures, Smart Materials and Structures, vol.20, issue.10, p.105014, 2011.
DOI : 10.1088/0964-1726/20/10/105014

D. Marchi, L. Marzani, A. Speciale, and N. , A passive monitoring technique based on dispersion compensation to locate impacts in plate-like structures, Smart Materials and Structures, vol.20, issue.3, p.35021, 2011.
DOI : 10.1088/0964-1726/20/3/035021

N. Quaegebeur, P. Ostiguy, and P. Masson, Correlation-based imaging technique for fatigue monitoring of riveted lap-joint structure, Smart Materials and Structures, vol.23, issue.5, p.55007, 2014.
DOI : 10.1088/0964-1726/23/5/055007

R. Levine and J. Michaels, Block-sparse reconstruction and imaging for lamb wave structural health monitoring, IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, vol.61, issue.6, pp.1006-1015, 2014.
DOI : 10.1109/TUFFC.2014.2996

J. Hall and J. Michaels, Multipath ultrasonic guided wave imaging in complex structures, Structural Health Monitoring: An International Journal, vol.14, issue.4, pp.345-358, 2015.
DOI : 10.1007/s10921-013-0212-x

J. Moriot, L. Maxit, and J. Guyader, Use of beamforming for detecting an acoustic source inside a cylindrical shell filled with a heavy fluid, Mechanical Systems and Signal Processing, vol.52, issue.53, pp.645-662, 2015.
DOI : 10.1016/j.ymssp.2014.07.022

URL : https://hal.archives-ouvertes.fr/hal-01359844

P. Ostiguy, N. Quaegebeur, and P. Masson, Comparison of model-based damage imaging techniques for transversely isotropic composites, Structural Health Monitoring: An International Journal, vol.9064, issue.4, p.1475921716674012, 2016.
DOI : 10.1063/1.3114362

G. Georgiou, Probability of detection (PoD) curves. derivation, application and limitations, 2006.

V. Janapati, F. Kopsaftopoulos, and F. Li, Damage detection sensitivity characterization of acousto-ultrasound-based structural health monitoring techniques, Structural Health Monitoring: An International Journal, vol.73, issue.1, pp.143-161, 2016.
DOI : 10.1121/1.2932071

J. Ihn and F. Chang, Pitch-catch Active Sensing Methods in Structural Health Monitoring for Aircraft Structures, Structural Health Monitoring: An International Journal, vol.29, issue.2, pp.5-19, 2008.
DOI : 10.1038/scientificamerican1199-91

R. Thompson, D. Thompson, and D. Chimenti, A UNIFIED APPROACH TO THE MODEL-ASSISTED DETERMINATION OF PROBABILITY OF DETECTION, AIP Conference Proceedings, pp.1685-1692, 2008.
DOI : 10.1063/1.2902639

S. Kulkarni and J. Achenbach, Structural Health Monitoring and Damage Prognosis in Fatigue, Structural Health Monitoring: An International Journal, vol.7, issue.1, pp.37-49, 2008.
DOI : 10.1016/0013-7944(85)90117-1

A. Cobb, J. Michaels, and T. Michaels, ULTRASONIC STRUCTURAL HEALTH MONITORING: A PROBABILITY OF DETECTION CASE STUDY, AIP Conference Proceedings, pp.1800-1807, 2009.
DOI : 10.1063/1.3114177

Y. Lu and J. Michaels, Feature extraction and sensor fusion for ultrasonic structural health monitoring under changing environmental conditions, IEEE Sens J, vol.9, issue.11, pp.1462-1471, 2009.

J. Aldrin, E. Medina, and E. Lindgren, MODEL-ASSISTED PROBABILISTIC RELIABILITY ASSESSMENT FOR STRUCTURAL HEALTH MONITORING SYSTEMS, AIP Conference Proceedings, vol.1211, issue.1, pp.1965-1972, 2010.
DOI : 10.1063/1.3362348

I. Mueller, V. Janapati, and S. Banerjee, On the performance quantification of active sensing SHM systems using model-assisted POD methods, Proceedings of the 8th international workshop on structural health monitoring, pp.2417-2428, 2011.

E. Flynn, M. Todd, and P. Wilcox, Maximum-likelihood estimation of damage location in guided-wave structural health monitoring, Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, vol.894, issue.1, p.20110095, 2011.
DOI : 10.1063/1.2718057

E. Flynn, M. Todd, and A. Croxford, Enhanced detection through low-order stochastic modeling for guided-wave structural health monitoring, Structural Health Monitoring: An International Journal, vol.28, issue.1, pp.149-160, 2012.
DOI : 10.1109/JSEN.2009.2019339

G. Jarmer, E. Flynn, and M. Todd, Multi-wave-mode, multi-frequency detectors for guided wave interrogation of plate structures, Structural Health Monitoring: An International Journal, vol.2007, issue.365, pp.120-130, 2014.
DOI : 10.1016/j.ultras.2005.05.001

S. Khodaei, Z. Aliabadi, and M. , Assessment of delay-and-sum algorithms for damage detection in aluminium and composite plates, Smart Materials and Structures, vol.23, issue.7, p.75007, 2014.
DOI : 10.1088/0964-1726/23/7/075007

C. Fendzi, J. Morel, and M. Rebillat, Optimal sensors placement to enhance damage detection in composite plates, Proceedings of the 7th European Workshop on Structural Health Monitoring, pp.1-8, 2014.
URL : https://hal.archives-ouvertes.fr/hal-01001844

D. Roach, T. Rice, and S. Neidigk, Establishing the Reliability of SHM Systems Through the Extrapolation of NDI Probability of Detection Principles, Structural Health Monitoring 2015, 2015.
DOI : 10.12783/SHM2015/330

G. Jarmer and S. Kessler, Probability of Detection Assessment of a Guided Wave Structural Health Monitoring System, Structural Health Monitoring 2015, 2015.
DOI : 10.12783/SHM2015/332

C. Schubert-kabban, B. Greenwell, and M. Desimio, The probability of detection for structural health monitoring systems: Repeated measures data, Structural Health Monitoring: An International Journal, vol.4, issue.3, pp.252-264, 2015.
DOI : 10.1007/978-1-4757-4111-7

J. Aldrin, C. Annis, and H. Sabbagh, Best practices for evaluating the capability of nondestructive evaluation (NDE) and structural health monitoring (SHM) techniques for damage characterization, AIP Conference Proceedings, vol.1706, issue.1, 2016.
DOI : 10.1063/1.2902639

A. Gianneo, M. Carboni, and M. Giglio, Feasibility study of a multi-parameter probability of detection formulation for a Lamb waves???based structural health monitoring approach to light alloy aeronautical plates, Structural Health Monitoring: An International Journal, vol.73, issue.2, p.1475921716670841, 2016.
DOI : 10.1117/1.OE.55.1.011007

V. Memmolo, F. Ricci, and L. Maio, Model assisted probability of detection for a guided-waves based SHM technique, Proceedings of SPIE 9805, pp.980504-980504

J. Hall and J. Michaels, Minimum variance ultrasonic imaging applied to an in situ sparse guided wave array, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control, vol.57, issue.10, 2010.
DOI : 10.1109/TUFFC.2010.1692

J. Michaels, L. Jacobs, and M. Ruzzene, A Multi-Scale Structural Health Monitoring Approach for Damage Detection, Diagnosis and Prognosis in Aerospace Structures, 2012.

L. Qiu, M. Liu, and X. Qing, A quantitative multidamage monitoring method for large-scale complex composite, Structural Health Monitoring: An International Journal, vol.4, issue.3, pp.183-196, 2013.
DOI : 10.1088/0964-1726/13/1/017

F. Kopsaftopoulos and S. Fassois, A functional model based statistical time series method for vibration based damage detection, localization, and magnitude estimation, Mechanical Systems and Signal Processing, vol.39, issue.1-2, pp.143-161, 2013.
DOI : 10.1016/j.ymssp.2012.08.023

V. Mallardo, M. Aliabadi, and Z. Sharif-khodaei, Optimal sensor positioning for impact localization in smart composite panels, Journal of Intelligent Material Systems and Structures, vol.85, issue.3, pp.559-573, 2013.
DOI : 10.1016/j.ymssp.2010.07.013

S. Khodaei, Z. Aliabadi, and M. , A Multi-Level Decision Fusion Strategy for Condition Based Maintenance of Composite Structures, Materials, vol.9, issue.12, p.790, 2016.
DOI : 10.1177/05831024030356001

J. Moriot, N. Quaegebeur, L. Duff, and A. , Characterization of the robustness of SHM imaging techniques using the absolute error of localization, Proceedings of the 8th European Workshop on Structural Health Monitoring, 2016.
URL : https://hal.archives-ouvertes.fr/hal-01359856

C. Annis, J. Knopp, and D. Thompson, Comparing the Effectiveness of a90/95 Calculations, AIP Conference Proceedings, pp.1767-1774, 2007.
DOI : 10.1063/1.2718177

R. Levine and J. Michaels, Model-based imaging of damage with Lamb waves via sparse reconstruction, The Journal of the Acoustical Society of America, vol.133, issue.3, pp.1525-1534, 2013.
DOI : 10.1121/1.4788984

N. Quaegebeur, T. Padois, and P. Gauthier, Enhancement of time-domain acoustic imaging based on generalized cross-correlation and spatial weighting, Mechanical Systems and Signal Processing, vol.75, pp.515-524, 2016.
DOI : 10.1016/j.ymssp.2015.12.012

P. Wilcox, A rapid signal processing technique to remove the effect of dispersion from guided wave signals, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control, vol.50, issue.4, pp.419-427, 2003.
DOI : 10.1109/TUFFC.2003.1197965

A. Raghavan and C. Cesnik, Finite-dimensional piezoelectric transducer modeling for guided wave based structural health monitoring, Smart Materials and Structures, vol.14, issue.6, p.1448, 2005.
DOI : 10.1088/0964-1726/14/6/037

H. Sohn and S. Lee, Lamb wave tuning curve calibration for surface-bonded piezoelectric transducers, Smart Materials and Structures, vol.19, issue.1, p.15007, 2009.
DOI : 10.1088/0964-1726/19/1/015007

Y. Bhuiyan, M. Shen, Y. Giurgiutiu, and V. , Interaction of Lamb waves with rivet hole cracks from multiple directions, Proc Inst Mech Eng C J Mech Eng Sci, p.0954406216686996, 2017.

N. Quaegebeur, N. Bouslama, and M. Bilodeau, Guided wave scattering by geometrical change or damage: Application to characterization of fatigue crack and machined notch, Ultrasonics, vol.73, pp.187-195, 2017.
DOI : 10.1016/j.ultras.2016.09.014

X. Chen, J. Michaels, and T. Michaels, A methodology for estimating guided wave scattering patterns from sparse transducer array measurements, IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, vol.62, issue.1, pp.208-219, 2015.
DOI : 10.1109/TUFFC.2014.006747

A. Norris and C. Vemula, Scattering of flexural waves on thin plates, Journal of Sound and Vibration, vol.181, issue.1, pp.115-125, 1995.
DOI : 10.1006/jsvi.1995.0129

R. Sakia, The Box-Cox Transformation Technique: A Review, The Statistician, vol.41, issue.2, pp.169-178, 1992.
DOI : 10.2307/2348250

V. Mczgee and W. Carleton, Piecewise Regression, Journal of the American Statistical Association, vol.65, issue.331, pp.1109-1124, 1970.
DOI : 10.1080/01621459.1963.10500845

F. Spencer, NONPARAMETRIC POD ESTIMATION FOR HIT???MISS DATA: A GOODNESS OF FIT COMPARISON FOR PARAMETRIC MODELS, AIP Conference Proceedings, pp.1557-1564
DOI : 10.1063/1.3592115