C. Florens, Modeling of the viscoelastic honeycomb panel equipped with piezoelectric patches in view of vibroacoustic active control design, 2010.
URL : https://hal.archives-ouvertes.fr/tel-00545422

C. Boller, F. K. Chang, and Y. Fujino, Encyclopedia of Structural Health Monitoring, 2009.

J. L. Rose, Ultrasonic Guided Waves in Solid Media, 2014.

J. L. Rose and L. Soley, Ultrasonic guided waves for the detection of anomalies in aircraft components, Materials Evaluation, vol.46, issue.9, pp.1080-1086, 2000.

K. Diamanti and C. Soutis, Structural health monitoring techniques for aircraft composite structures, Progress in Aerospace Sciences, vol.46, pp.342-352, 2010.

P. Cawley, Structural health monitoring: Closing the gap between research and industrial deployment, Structural Health Monitoring, vol.17, issue.5, pp.1225-1244, 2018.

H. Sohn, C. R. Farrar, N. F. Hunter, and K. Worden, Structural health monitoring using statistical pattern recognition techniques, Journal of dynamic systems, vol.123, pp.706-711, 2001.

V. Giurgiutiu, Structural Health Monitoring with Piezoelectric Wafer Active Sensors, 2014.

C. R. Farrar and K. Worden, An introduction to structural health monitoring, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, vol.365, p.1851, 2006.

W. J. Staszewski, S. Mahzan, and R. Traynor, Health monitoring of aerospace composite structures -Active and passive approach, Composites Science and Technology, vol.69, pp.1678-1685, 2009.

A. Raghavan, Guided weve Structural Health Monitoring, 2007.

D. Roach, Real time crack detection using mountable comparative and vacuum monitoring sensors, Smart Structures and Systems, vol.5, pp.317-328, 2009.

T. Dong and N. H. Kim, Cost-Effectiveness of Structural Health Monitoring in Fuselage Maintenance of the Civil Aviation Industry, Aerospace, vol.5, issue.87, 2018.

M. Wishaw and D. P. Barton, Comparative Vacuum Monitoring: a New Method of In-Sity Real Time Crack Detection and Monitoring, 10th Asia-Pacific Conference on Non-Destructive Testing, 2001.

D. Roach, J. Kollgaard, and S. Emery, Application and certification of comparative vacuum monitoring sensors for in-situ crack detection, Air Transport Assoc. Nondestructive Testing Forum, 2006.

X. P. Qing, R. Ikegami, S. J. Beard, D. Zhang, S. Das et al., Multifunctional Sensor Network for Structural State Sensing and Structural Health Monitoring, Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems, p.7647, 2010.

J. J. Scholey, P. D. Wilcox, C. K. Lee, M. I. Friswell, and M. R. Wisnom, Acoustic Emission in Wide Composite Specimens, Acoustic Emission Testing, vol.13, pp.325-332, 2006.

N. Meyendorf, B. Frankenstein, D. Hentschel, and L. Schubert, Acoustic techniques for structural health monitoring, IV Conferencia Panamericana de END Buenos Aires, 2007.

M. Lin, X. Qing, A. Kumar, S. Beard, and A. , Smart layer and smart suitcase for structural health monitoring applications, 2006.

C. Hu, Z. Yu, and A. Wang, An all fiber-optic multi-parameter structure health monitoring system, Optics Express, vol.24, issue.18, pp.20287-20296, 2016.

K. Worden and D. J. Inman, Modal Vibration Methods in Structural Health Monitoring, 2010.

R. Yan and X. Chen, Structural Health Monitoring: An Advanced Signal Processing Perspective, 2017.

R. Rolfes, S. Zerbst, G. Haake, J. Reetz, and J. P. Lynch, Integral SHM-system for offshore wind turbines using smart wireless sensors, Proceedings of the 6th International Workshop on Structural Health Monitoring, pp.11-13, 2007.

G. C. Kahandawa, J. Epaarachchi, H. Wang, and K. T. Lau, Use of FBG Sensors for SHM in Aerospace Structures, In: Photonic Sensors, vol.2, issue.3, pp.203-214, 2012.

J. Smitharda, P. Normana, S. Van-der-veldena, I. Powlesland, G. Junga et al., The Acousto Ultrasonic Structural health monitoring Array Module (AUSAM+) for Damage Detection in Structures, APWSHM: 6th Asia Pacific Workshop on Structural Health Monitoring, vol.188, pp.448-455, 2017.

K. R. Holford, R. Pullin, S. L. Evans, M. J. Eaton, J. Hensman et al., Acoustic emission for monitoring aircraft structures, Proceedings of the Institution of Mechanical Engineers, vol.223, pp.525-532, 2009.

C. Barile, C. Casavola, G. Pappalettera, and P. K. Vimalathithan, Acousto-ultrasonic evaluation of interlaminar strength on CFRP laminates, Composite Structures, vol.208, pp.263-8223, 2019.

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.

W. Ostachowicz and M. Radzienski, Structural health monitoring by means of elastic wave propagation, Modern Practice in Stress and Vibration Analysis, vol.382, p.12003, 2012.

J. L. Rose, Health Monitoring of Composite Structures Using Guided Waves, 2012.

H. Soejima, T. Ogisu, H. Yoneda, Y. Okabe, N. Takeda et al., Demonstration of detectability of SHM system with FBG/PZT hybrid system in composite wing box structure, Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems. 6932. International Society for Optics and Photonics, 2008.

A. J. Croxford, P. D. Wilcox, and B. W. Drinkwater, Guided wave SHM with a distributed sensor network, Proceedings of SPIE: Health Monitoring of Structural and Biological Systems, vol.6935, pp.1-9, 2008.

D. C. Worlton, Experimental confirmation of lamb waves at megacycle frequencies, Journal of Applied Physics, vol.32, issue.6, pp.967-971, 1961.

M. J. Lowe, D. N. Alleyne, and P. Cawley, Defect detection in pipes using guided waves, Ultrasonics, vol.36, issue.1, pp.41-624, 1997.

D. N. Alleyne, B. Pavlakovic, M. J. Lowe, and P. Cawley, Rapid, long range inspection of chemical plant pipework using guided waves, AIP Conference Proceedings, vol.557, 2001.

B. Chapuis, N. Terrien, and D. Royer, Excitation and focusing of Lamb waves in a multilayered anisotropic plate, Journal of the Acoustical Society of America, vol.127, 2010.

A. Kulakovskyi, B. Chapuis, O. Mesnil, N. Bedreddine, O. Almeida et al., Defect imaging on CFRP and honeycomb composite structures by guided waves generated and detected by a sparse PZT array, Proceedings of the 11th International Workshop on Structural Health Monitoring, 2017.
URL : https://hal.archives-ouvertes.fr/cea-01842363

D. N. Alleyne and P. Cawley, The interaction of Lamb waves with defects, IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, vol.39, issue.3, pp.381-397, 1992.

B. Chapuis, Contrôle Santé Intégré par méthode ultrasonore des réparations composites collées sur des structures métalliques, 2010.

T. Windisch, B. Köhler, and N. Meyendorf, Comparison of guided wave sensors for SHM sensor networks, SPIE: Smart Sensor Phenomena, Technology, Networks, and Systems. 7648, 2010.

L. Yu, G. Santoni-bottai, B. Xu, W. Liu, and V. Giurgiutiu, Piezoelectric wafer active sensors for in situ ultrasonic-guided wave SHM, Fatigue & Fracture of Engineering Materials & Structures, vol.31, pp.611-628, 2008.

T. Clarke and P. Cawle, Enhancing the defect localization capability of a guided wave SHM system applied to a complex structure, Structural Health Monitoring, vol.10, issue.3, pp.247-259, 2010.

T. Druet, B. Chapuis, J. Manfred, G. Laffont, and E. Moulin, Passive SHM System for Corrosion Detection by Guided Wave Tomography, Sensors, Algorithms and Applications for Structural Health Monitoring: IIW Seminar on SHM, pp.978-981, 2015.

D. Alleyne and P. Cawley, A two-dimensional Fourier transform method for the measurement of propagating multimode signals, Journal of the Acoustical Society of America, vol.89, issue.3, pp.1159-1168, 1991.

J. E. Michaels, A. C. Cobb, and T. E. Michaels, A comparison of feature-based classifiers for ultrasonic structural health monitoring, Proceedings of SPIE: Health Monitoring and Smart Nondestructive Evaluation of Structural and Biological Systems III, vol.5394, pp.363-374, 2004.

J. E. Michaels and T. E. Michaels, Detection of structural damage from the local temporal coherence of diffuse ultrasonic signals, IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, vol.52, issue.10, pp.1769-1782, 2005.

H. Xu, C. Xu, and S. Zhou, A new ultrasonic guided wave signal processing method for UNDE of laminated composite material, International Conference on Mechanic Automation and Control Engineering, pp.2542-2545, 2010.

J. Chen, J. Rostami, P. W. Tse, and X. Wan, The design of a novel mother wavelet that is tailor-made for continuous wavelet transform in extracting defect-related features from reflected guided wave signals, Measurement, vol.110, pp.263-2241, 2017.

D. Samaratunga, R. Jha, and S. Gopalakrishnan, Wave propagation analysis in laminated composite plates with transverse cracks using the wavelet spectral finite element method, Finite Elements in Analysis and Design, vol.89, pp.19-32, 2014.

M. Ghrib, M. Rébillat, G. Vermot-des-roches, and N. Mechbal, Automatic damage type classification and severity quantification using signal based and nonlinear model based damage sensitive features, Journal of Process Control, 2018.

G. Dib, O. Karpenko, E. Koricho, A. Khomenko, M. Haq et al., Ensembles of novelty detection classifiers for structural health monitoring using guided waves, Smart Materials and Structures, vol.27, p.1361, 2018.

Z. Su and L. Ye, Identification of Damage Using Lamb Waves, 2009.

J. Dobson and P. Cawley, Independent Component Analysis for Improved Defect Detection in Guided Wave Monitoring, Proceedings of the IEEE, vol.104, pp.1620-1631, 2016.

J. Quiroga, J. M. Párraga-quiroga, L. E. Mujica, R. Villamizar, M. Ruiz et al., Temperature Robust PCA Based Stress Monitoring Approach, vol.713, pp.288-292, 2016.

C. S. Alexander, J. B. Douglass, and . Harley, Dynamic time warping temperature compensation for guided wave structural health monitoring, IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, vol.65, issue.5, pp.851-861, 2018.

Y. Ren, L. Qiu, S. Yuan, and F. Fang, Gaussian mixture model-based path-synthesis accumulation imaging of guided wave for damage monitoring of aircraft composite structures under temperature variation, Structural Health Monitoring, vol.18, pp.284-302, 2018.

U. Dackermann, Y. Yu, E. Niederleithinger, J. Li, and H. Wiggenhauser, Condition Assessment of Foundation Piles and Utility Poles Based on Guided Wave Propagation Using a Network of Tactile Transducers and Support Vector Machines, Sensors, vol.17, issue.12, p.2938, 2017.

V. Memmolo, L. Maio, N. D. Boffa, E. Monaco, and F. Ricci, Damage detection tomography based on guided waves in composite structures using a distributed sensor network, Optical Engineering, vol.55, issue.1, p.11007, 2015.

T. Druet, J. L. Tastet, B. Chapuis, and E. Moulin, Guided Wave Tomography for Corrosion Monitoring in Planar Structures, Proceedings of IWSHM, 2017.
URL : https://hal.archives-ouvertes.fr/cea-01842370

C. H. Wang, J. T. Rose, and F. Chang, A synthetic time-reversal imaging method for structural health monitoring, Smart Materials and Structures, vol.13, p.415, 2004.

J. E. Michaels and T. E. Michaels, Guided wave signal processing and image fusion for in situ damage localization in plates, Wave Motion, vol.44, issue.6, pp.482-492, 2007.

J. E. Michaels, Detection, localization and characterization of damage in plates with an in situ array of spatially distributed ultrasonic sensors, Smart Materials and Structures, vol.17, 2008.

J. S. Hall and J. E. Michaels, Computational Efficiency of Ultrasonic Guided Wave Imaging Algorithms, IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, vol.58, issue.1, pp.244-248, 2011.

J. S. Hall and J. E. 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, pp.2311-2323, 2010.

J. S. Hall and J. E. Michaels, Multipath ultrasonic guided wave imaging in complex structures, Structural Health Monitoring, vol.14, pp.345-358, 2015.

N. Quaegebeur, P. Micheau, P. Masson, and A. Maslouhi, Structural health monitoring strategy for detection of interlaminar delamination in composite plates, Smart Materials and Structures, vol.19, 2010.

N. Quaegebeur, P. Masson, D. Langlois-demers, and P. Micheau, Dispersion-based imaging for structural health monitoring using sparse and compact arrays, Smart Materials and Structures, vol.20, 2011.

A. Perelli, L. De-marchi, L. Flamigni, A. Marzani, and G. Masetti, Best basis compressive sensing of guided waves in structural health monitoring, Digital Signal Processing, vol.42, pp.35-42, 2015.

J. B. Harley and J. M. Moura, Sparse recovery of the multimodal and dispersive characteristics of Lamb waves, The Journal of the Acoustical Society of America, vol.133, issue.5, pp.2732-2745, 2013.

W. Zhao, M. Li, J. B. Harley, Y. Jin, J. M. Moura et al., Reconstruction of Lamb wave dispersion curves by sparse representation with continuity constraints, The Journal of the Acoustical Society of America, vol.141, issue.2, pp.749-763, 2017.

J. B. Harley and J. M. Moura, Data-driven matched field processing for Lamb wave structural health monitoring, The Journal of the Acoustical Society of America, vol.135, issue.3, pp.1231-1244, 2014.

O. Mesnil and M. Ruzzene, Sparse wavefield reconstruction and source detection using Compressed Sensing, Ultrasonics, vol.67, pp.94-104, 2016.

H. Lamb, On waves in an elastic plate, Proceedings of the Royal Society of London A: Mathematical, Physical and Engineering Sciences, vol.93, issue.648, pp.114-128, 1917.

L. Wang and F. G. Yuan, Group velocity and characteristic wave curves of Lamb waves in composites: Modeling and experiments, Composites Science and Technology, vol.67, pp.1370-1384, 2007.

B. S. Tang, Lamb Wave Propagation in Laminated Composite Plates, 1988.

B. Hosten and M. Castaings, FE modeling of Lamb mode diffraction by defects in anisotropic viscoelastic plates, NDT & E International, vol.39, issue.3, pp.195-204, 2006.

G. F. Roach, Green's Functions. 2nd, 1982.

R. E. Diaz-contreras and S. Nomura, Green's function applied to solution of Mindlin plates, Computers & Structures, vol.60, issue.1, pp.41-48, 1996.

D. Duhamel, Finite element computation of Green's functions, Engineering Analysis with Boundary Elements, vol.31, pp.919-930, 2007.

G. R. Liu and J. D. Achenbach, A Strip Element Method for Stress Analysis of Anisotropic Linearly Elastic Solids, Journal of Applied Mechanics, vol.61, issue.2, pp.270-277, 1994.

M. Castaings and B. Hosten, The propagation of guided waves in composite, sandwichlike structures and their use for NDT, AIP Conference Proceedings, vol.557, 2001.

A. Velichko and P. D. Wilcox, Modelling the Excitation of Guided Waves in Generally Anisotropic Multi-layered Media, Journal of the Acoustical Society of America, vol.121, issue.60, 2007.

M. Stévenin, A. Lhémery, and S. Grondel, An efficient model to predict guided wave radiation by finite-sized sources in multilayered anisotropic plates with account of caustics, Journal of Physics: Conference Series, vol.684, p.12004, 2016.

L. Yu, Z. Tian, X. Li, R. Zhu, and G. Huang, Core-skin debonding detection in honeycomb sandwich structures through guided wave wavefield analysis, Journal of Intelligent Material Systems and Structures, 2018.

L. Taupin, A. Lhémery, and G. Inquiété, A detailed study of guided wave propagation in a viscoelastic multilayered anisotropic plate, Journal of Physics: Conference Series, vol.269, p.12002, 2011.

F. Song, G. L. Huang, and K. Hudson, Guided wave propagation in honeycomb sandwich structures using a piezoelectric actuator/sensor system, Smart Materials and Structures, vol.18, p.125007, 2009.

V. N. Smelyanskiy, V. Hafiychuk, D. G. Luchinsky, R. Tyson, J. Miller et al., Modeling wave propagation in Sandwich Composite Plates for Structural Health Monitoring, Annual Conference of the Prognostics and Health Management Society, vol.2, 2011.

S. Sikdar and S. Banerjee, Guided wave propagation in a honeycomb composite sandwich structure in presence of a high density core, Ultrasonics, vol.71, pp.86-97, 2016.

B. Tian, Numerical simulation of elastic wave propagation in honeycomb core sandwich plates, 2014.
URL : https://hal.archives-ouvertes.fr/tel-01064030

L. J. Gibson and M. F. Ashby, Cellular Solids: Structure and Properties, 1997.

S. Malek and L. Gibson, Effective elastic properties of periodic hexagonal honeycombs, Mechanics of Materials, vol.91, pp.226-240, 2016.

B. Tie, D. Aubrya, A. S. Mouronvala, D. Solas, J. Thébault et al., High Frequency Elastic Wave Propagation in Media with a Microstructure, AIP Conference Proceedings 1233, 2010.

B. Tie, B. Y. Tian, and D. Aubry, Theoretical and numerical modeling of membrane and bending elastic wave propagation in honeycomb thin layers and sandwiches, Journal of Sound and Vibration, vol.382, pp.100-121, 2016.
URL : https://hal.archives-ouvertes.fr/hal-01349289

L. Taupin, A. Lhémery, V. Baronian, and A. S. Bonnet-bendhia, Scattering of obliquely incident guided waves by a stiffener bonded to a plate, In: Journal of Physics: Conference Series, vol.353, 2012.

A. Leleux, P. Micheau, and M. Castaings, Long Range Detection of Defects in Composite Plates Using Lamb Waves Generated and Detected by Ultrasonic Phased Array Probes, Journal of Nondestructive Evaluation, vol.32, issue.2, pp.200-214, 2013.

M. Lazaro-gredilla, S. Van-vaerenbergh, and N. D. Lawrence, Overlapping Mixtures ofGaussian Processes for the data association problem, Pattern Recognition, vol.45, pp.1386-1395, 2011.

M. N. Gibbs, Bayesian Gaussian Processes for Regression and Classification, 1997.

C. E. Rasmussen and C. K. Williams, Gaussian processes for machine learning, 2006.

M. A. Alvarez, L. Rosasco, and N. D. Lawrence, Kernels for Vector-Valued Functions: a Review, 2011.

M. J. Lowe, Matrix Techniques and for Modeling and Ultrasonic Waves and in Multilayered and Media, IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, vol.42, issue.4, pp.525-542, 1995.

A. C. Arpaci-dusseau, Operating Systems: Three Easy Pieces, 2014.

L. Chehami, E. Moulin, J. De-rosny, C. Prada, O. B. Matar et al., Detection and localization of a defect in a reverberant plate using acoustic field correlation, Journal of Applied Physics, vol.115, 2014.
URL : https://hal.archives-ouvertes.fr/hal-00964507

H. Gao, Y. Shi, and J. L. Rose, Guided Wave Tomography on an Aircraft Wing with Leave in Place Sensors, AIP Conference Proceedings, vol.760, 1788.

A. K. Mal, S. Banerjeeb, F. Riccic, E. Monacoc, and L. Lecce, Autonomous health monitoring of a stiffened composite plate, Health Monitoring and Smart Nondestructive Evaluation of Structural and Biological Systems III, pp.617701-617702, 2006.

X. Zhao, H. Gao, G. Zhang, B. Ayhan, F. Yan et al., Active health monitoring of an aircraft wing with embedded piezoelectric sensor/actuator network: I. Defect detection, localization and growth monitoring, Smart Materials and Structures, vol.16, p.1208, 2007.

W. B. Westin, T. E. Michaels, and J. E. Michaels, Characterization of guided wave velocity and attenuation in anisotropic materials from wavefield measurements, AIP Conference Proceedings, vol.1706, 2016.

P. C. Ostiguy, Modélisation pour l'imagerie des composites par ondes guidees, 2016.

E. Kausel, Wave propagation in anisotropic layered media, International Journal for Numerical Methods in Engineering, vol.23, issue.8, pp.1567-1578, 1986.

M. Castaings and B. Hosten, Delta operator technique to improve the Thomson-Haskell method stability for propagation in multilayered anisotropic absorbing plates, Journal of the Acoustical Society of America, vol.95, 1931.

O. , Sparse reconstruction and analysis of guided wavefields for damage detection, 2016.

Z. Sharif-khodaei and M. H. Aliabadi, Assessment of delay-and-sum algorithms for damage detection in aluminium and composite plates, Smart Materials and Structures, vol.23, 2014.

J. C. Aldrin, E. A. Medina, E. A. Lingren, C. F. Buynak, and J. S. Knopp, Protocol for Reliability Assessment of Structural Health Monitoring Systems Incorporating Model-assisted Probability of Detection (MAPOD) Approach, 2011.

S. S. Kessler, E. B. Flynn, C. T. Dunn, and M. D. Todd, A Structural Health Monitoring Software Tool for Optimization, Diagnostics and Prognostics, Annual Conference of the Prognostics and Health Management Society, 2011.

E. Etebu and M. Shafiee, Reliability analysis of strucutural health monitoring systems, ESREL Proceedings: Safety and Reliability -Safe Societies in a Changing World, 2018.

C. M. Schubert-kabban, B. M. Greenwell, M. P. Desimio, and M. M. Derriso, The probability of detection for structural health monitoring systems: Repeated measures data, Structural Health Monitoring, vol.14, issue.3, pp.252-264, 2015.

O. Mesnil, A. Imperiale, E. Demaldent, V. Baronian, and B. Chapuis, Simulation tools for guided waves based structural health monitoring, AIP Conference Proceedings, 2018.

C. Willberg, S. Duczek, J. M. Vivar-perez, and Z. A. Ahmad, Simulation Methods for Guided Wave-Based Structural Health Monitoring: A Review, In: Applied Mechanics Reviews, vol.67, issue.1, p.10803, 2015.

C. Leckey, K. Wheeler, V. N. Hafiychuk, H. Hafiychuk, and D. Timucin, Simulation of guided-wave ultrasound propagation in composite laminates: Benchmark comparisons of numerical codes and experiment, Ultrasonics, vol.84, pp.187-200, 2018.

G. Cohen, Higher-Order Numerical Methods for Transient Wave Equations, 2002.
URL : https://hal.archives-ouvertes.fr/hal-01166961

O. Mesnil, A. Imperiale, E. Demaldent, and B. Chapuis, Validation of spectral finite element simulation tools dedicated to structural health monitoring, AIP Conference Proceedings, 2018.

E. Fribourg-blanc, Thin film actuators for structural heath monitoring : study of PZT and PMNT films, 2003.

J. Moriot, N. Quaegebeur, A. L. Duff, and P. Masson, A model-based approach for statistical assessment of detection and localization performance of guided wave-based imaging techniques, Structural Health Monitoring, vol.17, pp.1460-1472, 2017.
URL : https://hal.archives-ouvertes.fr/hal-01656780

Y. Cho, Estimation of ultrasonic guided wave mode conversion in a plate with thickness and variation, IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, vol.47, issue.3, pp.591-603, 2000.

Y. Chen, A Tutorial on Kernel Density Estimation and Recent Advances, ArXiv: Methodology eprint, 2017.

Z. Ju and H. Liu, Fuzzy Gaussian Mixture Models, Pattern Recognition, vol.45, pp.1146-1158, 2012.

D. K. Duvenaud, Automatic Model Construction with Gaussian Processes, 2014.

Y. Lecun, Y. Bengio, and G. Hinton, Deep learning, Nature, vol.521, issue.7553, p.521, 2015.

A. Miorelli, O. Kulakovskyi, O. Mesnil, and . Almeida, Automatic defect localization and characterization through machine learning based inversion for guided wave imaging in SHM, QNDE Proceedings, 2018.

P. Tamilselvan and W. Pingfeng, Failure diagnosis using deep belief learning based health state classification, Reliability Engineering & System Safety, pp.124-135, 2013.

R. Zhao, R. Yan, Z. Chen, K. Mao, P. Wang et al., Deep learning and its applications to machine health monitoring: A survey, ArXiv: Machine Learning, 2016.

F. Pedregosa, G. Varoquaux, A. Gramfort, V. Micheland, G. B. Thirion et al., Scikit-learn: Machine learning in Python, In: Journal of machine learning research, vol.12, pp.2825-2830, 2011.
URL : https://hal.archives-ouvertes.fr/hal-00650905

G. Isabelle and A. Elisseeff, An introduction to feature extraction, Feature extraction, pp.1-25, 2006.

D. H. Wolpert and W. G. Macready, No Free Lunch Theorems for Optimization, IEEE Transactions on Evolutionary Computation, vol.1, issue.1, pp.67-82, 1997.

C. Szegedy, V. Vanhoucke, S. Ioffe, J. Shlens, and Z. Wojna, Rethinking the Inception Architecture for Computer Vision, ArXiv: Computer Vision and Pattern Recognition, 2015.

H. R. Maei, C. Szepesvari, S. Bhatnagar, and R. S. Sutton, Toward Off-Policy Learning Control with Function Approximation

T. Zhang, T. G. Kahn, S. Levine, and P. Abbeel, Learning deep control policies for autonomous aerial vehicles with mpc-guided policy search, IEEE international conference on robotics and automation (ICRA), pp.528-535, 2016.

D. Ciresan, M. Ueli, and S. Jürgen, Multi-column deep neural networks for image classification, ArXiv: Computer Vision and Pattern Recognition, 2012.

D. H. Hubel and T. N. Wiesel, Receptive ffield of single neurones in the cat's striate cortex, Journal of Physiology, vol.148, pp.574-591, 1959.

C. Szegedy, W. Liu, Y. Jia, P. Sermanet, S. Reed et al., Going deeper with convolutions, Proceedings of the IEEE conference on computer vision and pattern recognition, pp.1-9, 2015.

T. Wiatowski and H. Bolcskei, A Mathematical Theory of Deep Convolutional Neural Networks for Feature Extraction, IEEE Transactions on Information Theory, vol.64, pp.1845-1866, 2018.

W. Shang, K. Sohn, D. Almenia, and H. Lee, Understanding and Improving Convolutional Neural Networks via Concatenated Rectified Linear Units, International Conference on Machine Learning, pp.2217-2225, 2016.

I. Kuzovkin, R. Vicente, M. Petton, J. Lachaux, M. Baciu et al., Activations of deep convolutional neural networks are aligned with gamma band activity of human visual cortex, Nature: Communications Biology, vol.1, issue.107, 2018.
URL : https://hal.archives-ouvertes.fr/hal-01979181

A. Maas, H. Y. Awni, and A. Ng, Rectifier nonlinearities improve neural network acoustic models, Proceedings of the 30-th International Conference on Machine Learning, vol.28

A. Krizhevsky, I. Sutskever, and G. E. Hinton, ImageNet Classification with Deep Convolutional Neural Networks, Advances in Neural Information Processing Systems

. Ed, C. J. Pereira, L. Burges, K. Q. Bottou, and . Weinberger, , pp.1097-1105, 2012.

K. Simonyan and A. Zisserman, Very deep convolutional networks for large-scale image recognition, ArXiv: Computer Vision and Pattern Recognition, 2014.

I. Goodfellow, Y. Bengio, and A. Courville, Deep Learning, 2016.

P. P. Bonissone, Y. Chen, K. Goebel, and P. S. Khedkar, Hybrid soft computing systems: industrial and commercial applications, Proceedings of the IEEE, vol.87, pp.1641-1667, 1999.

M. Saemi, M. Ahmadi, and A. Y. Varjani, Design of neural networks using genetic algorithm for the permeability estimation of the reservoir, Journal of Petroleum Science and Engineering, vol.59, issue.1-2, pp.97-105, 2007.

D. P. Kingma and J. Ba, Adam: A method for stochastic optimization, ArXiv: Machine Learning, 2014.

I. Goodfellow, Y. Bengio, A. Courville, and Y. Bengio, Deep learning, vol.1, 2016.

M. D. Zeiler and R. Fergus, Visualizing and understanding convolutional networks, European conference on computer vision, pp.818-833, 2014.

J. Yosinski, J. Clune, A. Nguyen, T. Fuchs, and H. Lipson, Understanding neural networks through deep visualization, ArXiv: Computer Vision and Pattern Recognition, 2015.

A. J. Croxford, J. Moll, P. D. Wilcox, and J. E. Michaels, Efficient temperature compensation strategies for guided wave structural health monitoring, Ultrasonics, vol.50, pp.517-528, 2010.

C. Fendzi, M. Rébillat, N. Mechbal, M. Guskov, and G. Coffignal, A data-driven temperature compensation approach for Structural Health Monitoring using Lamb waves, Structural Health Monitoring, vol.15, issue.5, pp.525-540, 2015.
URL : https://hal.archives-ouvertes.fr/hal-01376868

J. C. Dodson and D. J. Inman, Thermal sensitivity of Lamb waves for structural health monitoring applications, Ultrasonics, vol.53, pp.677-685, 2013.

O. Putkis, R. P. Dalton, and A. J. Croxford, The influence of temperature variations on ultrasonic guided waves in anisotropic CFRP plates, Ultrasonics, vol.60, pp.109-116, 2015.

A. J. Croxford, P. D. Wilcox, B. W. Drinkwater, and G. Konstantinidis, Strategies for guided-wave structural health monitoring, Proceedings of The Royal Society A Mathematical Physical and Engineering, vol.463, p.2087, 2008.

S. Chaabene, F. Bouchoucha, M. N. Ichchou, and M. Haddar, Wave mode diffusion and propagation in structural wave guide under Varying Temperature, In: Applied Acoustics, vol.108, pp.84-91, 2015.

R. Miorelli, A. Kulakovskyi, O. Mesnil, B. Chapuis, and O. Almeida, Supervised learning strategy for classification and regression tasks applied to aeronautical structural health monitoring problems, IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control (Currently Under Rewiew, 2019.

Z. Lu, S. J. Lee, J. E. Michaels, and T. E. Michaels, On The Optimization Of Temperature Compensation For Guided Wave Structural Health Monitoring, Review of Quantitative Nondestructive Evaluation, vol.12, p.1860, 2010.

Y. Lu and J. E. Michaels, A methodology for structural health monitoring with diffuse ultrasonic waves in the presence of temperature variations, Ultrasonics, vol.43, pp.717-731, 2005.

R. J. Turetsky and D. P. Ellis, Ground-Truth Transcriptions of Real Music from ForceAligned MIDI Syntheses, 2003.

M. Müller, Information Retrieval for Music and Motion, following conferences: 1. (EWSHM 2016) Development of an SHM system of sandwich composite panels using guided elastic waves, 2007.

, Defect imaging on CFRP and honeycomb composite structures by guided waves generated and detected by a sparse PZT array, 2017.

, AFPAC 2018) Defect imaging in composite plates using the sparse piezo-electric transducers network

, ACMA 2018) Defect imaging in CFRP and Honeycomb panels

, COFREND 2018) Development of SHM system for sandwich composite panels using guided elastic waves

, Experimental determination of 3D Green's function in composite plates for defect imaging using guided waves, 2018.

, Automatic defect localization and characterization through machine learning based inversion for guided wave imaging in SHM, 2018.

, High-Resolution Defect Imaging In Laminate Composites And Honeycomb Structures, 2018.

(. J. Smart, Mat.Struc) Statistical study on performances of guided wave imaging algorithms for structural health monitoring