Article Article
A Deep Learning Framework for Acoustic Emission Sources Localization and Characterization in Complex Aerospace Panels

This paper presents a data-driven approach based on deep stacked autoencoders for the localization and characterization of acoustic emission sources in complex aerospace panels. The approach leverages the multimodal and dispersive reverberations of acoustic emissions. The approach is validated by Hsu-Nielsen pencil lead break tests on a fuselage section of a Boeing 777 instrumented with a single piezoelectric sensor.

DOI: https://doi.org/10.32548/2021.me-04179

References

Al Rahhal, M.M., Y. Bazi, H. AlHichri, N. Alajlan, F. Melgani, and R.R. Yager, 2016, “Deep Learning Approach for Active Classification of Electrocardiogram Signals,” Information Sciences, Vol. 345, pp. 340–354, https://doi.org/10.1016/j.ins.2016.01.082

Al-Jumaili, S.K., M.R. Pearson, K.M. Holford, M.J. Eaton, and R. Pullin, 2016, “Acoustic Emission Source Location in Complex Structures Using Full Automatic Delta T Mapping Technique,” Mechanical Systems and Signal Processing, Vols. 72–73, pp. 513–524, https://doi.org/10.1016/j.ymssp.2015.11.026

Baxter, M.G., R. Pullin, K.M. Holford, and S.L. Evans, 2007, “Delta T Source Location for Acoustic Emission,” Mechanical Systems and Signal Processing, Vol. 21, No. 3, pp. 1512–1520, https://doi.org/10.1016 /j.ymssp.2006.05.003

Bridle, J.S., 1990, “Probabilistic Interpretation of Feedforward Classification Network Outputs, with Relationships to Statistical Pattern Recognition,” in Neurocomputing, pp. 227–236, Springer Berlin Heidelberg, https://doi.org/10.1007/978-3-642-76153-9_28

Ciampa, F., and M. Meo, 2010a, “A New Algorithm for Acoustic Emission Localization and Flexural Group Velocity Determination in Anisotropic Structures,” Composites Part A: Applied Science and Manufacturing, Vol. 41, No. 12, pp. 1777–1786, https://doi.org/10.1016/j.compositesa .2010.08.013

Ciampa, F., and M. Meo, 2010b, “Acoustic Emission Source Localization and Velocity Determination of the Fundamental Mode A0 Using Wavelet Analysis and a Newton-Based Optimization Technique,” Smart Materials and Structures, Vol. 19, No. 4, https://doi.org/10.1088/0964-1726/19 /4/045027

Ciampa, F., and M. Meo, 2012, “Impact Detection in Anisotropic Materials Using a Time Reversal Approach,” Structural Health Monitoring, Vol. 11, No. 1, pp. 43–49, https://doi.org/10.1177/1475921710395815

Davoudi, R., G.R. Miller, and J.N. Kutz, 2018a, “Data-Driven Vision-Based Inspection for Reinforced Concrete Beams and Slabs: Quantitative Damage and Load Estimation,” Automation in Construction, Vol. 96, pp. 292–309, https://doi.org/10.1016/j.autcon.2018.09.024

Davoudi, R., G.R. Miller, and J.N. Kutz, 2018b, “Structural Load Estimation Using Machine Vision and Surface Crack Patterns for Shear-Critical RC Beams and Slabs,” Journal of Computing in Civil Engineering, Vol. 32, No. 4, https://doi.org/10.1061/(ASCE)CP.1943-5487.0000766

Dubuc, B., A. Ebrahimkhanlou, and S. Salamone, 2020, “Stress Monitoring of Prestressing Strands in Corrosive Environments Using Modulated Higher-Order Guided Ultrasonic Waves,” Structural Health Monitoring, Vol. 19, No. 1, https://doi.org/10.1177/1475921719842385

Ebrahimkhanlou, A., and S. Salamone, 2017a, “Acoustic Emission Source Localization in Thin Metallic Plates: A Single-Sensor Approach Based on Multimodal Edge Reflections,” Ultrasonics, Vol. 78, pp. 134–145, https://doi.org/10.1016/j.ultras.2017.03.006

Ebrahimkhanlou, A., and S. Salamone, 2017b, “A Probabilistic Framework for Single-Sensor Acoustic Emission Source Localization in Thin Metallic Plates,” Smart Materials and Structures, Vol. 26, No. 9, https://doi.org /10.1088/1361-665X/aa78de

Ebrahimkhanlou, A., B. Dubuc, and S. Salamone, 2019a, “A Generalizable Deep Learning Framework for Localizing and Characterizing Acoustic Emission Sources in Riveted Metallic Panels,” Mechanical Systems and Signal Processing, Vol. 130, pp. 248–272, https://doi.org/10.1016 /j.ymssp.2019.04.050

Ebrahimkhanlou, A., J. Choi, T.D. Hrynyk, S. Salamone, and O. Bayrak, 2020a, “Acoustic Emission Monitoring of Containment Structures During Post-Tensioning,” Engineering Structures, Vol. 209, https://doi.org /10.1016/j.engstruct.2019.109930

Ebrahimkhanlou, A., S. Salamone, A. Ebrahimkhanlou, A.R. Ghiami Azad, K. Kreitman, T. Helwig, E. Williamson, and M. Engelhardt, 2019b, “Acoustic Emission Monitoring of Strengthened Steel Bridges: Inferring the Mechanical Behavior of Post-Installed Shear Connectors,” Proceedings SPIE 10971, Nondestructive Characterization and Monitoring of Advanced Materials, Aerospace, Civil Infrastructure, and Transportation XIII, https://doi.org/10.1117/12.2514231

Goldaran, R., A. Turer, M. Kouhdaragh, and K. Ozlutas, 2020, “Identification of Corrosion in a Prestressed Concrete Pipe Utilizing Acoustic Emission Technique,” Construction and Building Materials, Vol. 242, https://doi.org/10.1016/j.conbuildmat.2020.118053

Goldaran, R., and A. Turer, 2020, “Application of Acoustic Emission for Damage Classification and Assessment of Corrosion in Pre-stressed Concrete Pipes,” Measurement, Vol. 160, https://doi.org/10.1016 /j.measurement.2020.107855

Heaton, C., B.E. Anderson, and S.M. Young, 2017, “Time Reversal Focusing of Elastic Waves in Plates for an Educational Demonstration,” The Journal of the Acoustical Society of America, Vol. 141, No. 2, https://doi.org/10.1121/1.4976070

Hsu, N.N., 1976, Acoustic Emissions Simulator, US Patent 4018084 A, filed 13 May 1976 and issued 19 April 1977

Li, J., and G. Qi, 2009, “Improving Source Location Accuracy of Acoustic Emission in Complicated Structures,” Journal of Nondestructive Evaluation, Vol. 28, pp. 1–8, https://doi.org/10.1007/s10921-009-0042-z

Livadiotis, S., A. Ebrahimkhanlou, and S. Salamone, 2019, “An Algebraic Reconstruction Imaging Approach for Corrosion Damage Monitoring of Pipelines,” Smart Materials and Structures, Vol. 28, No. 5, https://doi.org /10.1088/1361-665X/ab1160

Rovinelli, A., M.D. Sangid, H. Proudhon, Y. Guilhem, R.A. Lebensohn, and W. Ludwig, 2018, “Predicting the 3D Fatigue Crack Growth Rate of Small Cracks Using Multimodal Data via Bayesian Networks: In-Situ Experiments and Crystal Plasticity Simulations,” Journal of the Mechanics and Physics of Solids, Vol. 115, pp. 208–229, https://doi.org/10.1016/j.jmps.2018.03.007

Sen, N., and T. Kundu, 2018, “A New Wave Front Shape-Based Approach for Acoustic Source Localization in an Anisotropic Plate without Knowing Its Material Properties,” Ultrasonics, Vol. 87, pp. 20–32, https://doi.org /10.1016/j.ultras.2018.01.011

Sharif-Khodaei, Z., M. Ghajari, and M.H. Aliabadi, 2012, “Determination of Impact Location on Composite Stiffened Panels,” Smart Materials and Structures, Vol. 21, No. 10, https://doi.org/10.1088/0964-1726/21/10 /105026

Zumpano, G., and M. Meo, 2007, “A New Nonlinear Elastic Time Reversal Acoustic Method for the Identification and Localisation of Stress Corrosion Cracking in Welded Plate-Like Structures – A Simulation Study,” International Journal of Solids and Structures, Vol. 44, Nos. 11–12, pp. 3666–3684, https://doi.org/10.1016/j.ijsolstr.2006.10.010

 

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