Experimental Damage Localization and Quantification with a Numerically Trained Convolutional Neural Network
Communication avec acte
Structural Health Monitoring (SHM) based on Lamb wave propagation is a promising technology to optimize maintenance costs, enlarge service life and improve safety of aircrafts. A large quantity of data is collected during all the life cycle of the structure under monitoring and must be analysed in real time. We propose here to use 1D-CNN to estimate the severity and the localisation of a damage with the signals measured on a composite structure monitored with piezoelectric transducers (PZT). Two architectures have been tested: one takes for input the difference of the time signals of two different states and the second takes for in-puts temporal damage indexes. Those simple networks with a few layers predict with high precision the position and the severity of a damage in a composite plate. The evaluations on different cases show the robustness to simulated manufacturing uncertainties and noise. An evaluation on experimental measurement shows promising results to localise a damage on a real plate with a CNN trained with numerical data.
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Towards an industrial deployment of PZT based SHM processes: A dedicated metamodel for Lamb wave propagation Communication avec actePOSTORINO, Hadrien; REBILLAT, Marc; MONTEIRO, Eric; MECHBAL, Nazih (2020)Numerical simulations of Structural Health Monitoring processes based on wave propagation can be very costly in terms of computation time, especially for complex aeronautic composite structures, and therefore strongly ...
Cross-structures Deep Transfer Learning through Kantorovich potentials for Lamb Waves based Structural Health Monitoring Article dans une revue avec comité de lecturePOSTORINO, Hadrien; MONTEIRO, Eric; REBILLAT, Marc; MECHBAL, Nazih (University of Liege library ( Belgium), 2023-04)In Lamb Waves based Structural Health Monitoring (LWSHM) of composite aeronautic structures, Deep Learning (DL) methods have proven to be promising to monitor damage using the signals collected by piezoelectric sensors ...
Communication sans acteThe deployment of Deep Learning (DL) strategies is particularly advantageous in Structural Health Monitoring (SHM) based of lamb Wave (LW) propagation due to the high quantity of data collected by the network of piezoelectric ...
Communication avec acteSCHEFFLER, Mattias; MECHBAL, Nazih; REBILLAT, Marc; MONTEIRO, Eric; BARABINO, Nicolas (IEEE, 2019)This paper describes an original methodology to operate a new nonlinear vibrating membrane pump, actuated by a moving magnet actuator without the use of a motion sensor, in the scope of cardiac assistance. A nonlinear ...
Communication avec acteLI, Xixi; MONTEIRO, ERIC; REBILLAT, Marc; GUSKOV, Mikhail; MECHBAL, Nazih (A. Benjeddou, N. Mechbal and J.F. Deü, 2019)One of the most important issues in engineering is the monitoring and the early detection of structural damages to prevent catastrophic failures. This process is referred to as Structural Health Monitoring and is expected ...