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Roberto Miorelli
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Journal Articles

Global Sensitivity Analysis of Ultrasonic Testing Simulations of Slot-Like Defects With Multifidelity Modeling

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Yen-Chen Liu, Roberto Miorelli, Leifur Leifsson, Christophe Reboud, Pierre Calmon
Journal: Journal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems
Publisher: ASME
Article Type: Research Papers
ASME J Nondestructive Evaluation. February 2025, 8(1): 011002.
Paper No: NDE-23-1021
https://doi.org/10.1115/1.4065766
Published Online: July 26, 2024
View Articletitled, Global Sensitivity Analysis of Ultrasonic Testing Simulations of Slot-Like Defects With Multifidelity Modeling
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Topics: Metamodeling, Modeling, Sensitivity analysis, Simulation, Testing, Ultrasonic testing, Physics, Uncertainty
Proceedings Papers

X-ray Images Augmented with Simulated Virtual Flaws for Deep Learning Based Defect Detections

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Roberto Miorelli, Anthony Touron, Julie Escoda, Souad Bannouf, Edouard Demaldent
Proc. ASME. QNDE2024, 2024 51st Annual Review of Progress in Quantitative Nondestructive Evaluation, V001T13A001, July 21–24, 2024
Publisher: American Society of Mechanical Engineers
Paper No: QNDE2024-135271
https://doi.org/10.1115/QNDE2024-135271
View Paper titled, X-ray Images Augmented with Simulated Virtual Flaws for Deep Learning Based Defect Detections
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Topics: Algorithms, Deep learning, Testing, X-rays
Proceedings Papers

Deep Autoencoder Framework Applied to the Generation of Realistic Guided Wave Signals in Structural Health Monitoring Under Varying Environmental and Operational Conditions

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Roberto Miorelli, Vivek Nerlikar, Arnaud Recoquillay, Oscar D’Almeida
Proc. ASME. QNDE2024, 2024 51st Annual Review of Progress in Quantitative Nondestructive Evaluation, V001T07A003, July 21–24, 2024
Publisher: American Society of Mechanical Engineers
Paper No: QNDE2024-134803
https://doi.org/10.1115/QNDE2024-134803
View Paper titled, Deep Autoencoder Framework Applied to the Generation of Realistic Guided Wave Signals in Structural Health Monitoring Under Varying Environmental and Operational Conditions
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Topics: Signals, Structural health monitoring, Waves, Temperature, Artificial neural networks, Carbon reinforced plastics, Guided wave ultrasonic testing, Machine learning, Signal processing, Simulation
Proceedings Papers

A Neural Style Transfer Data Augmentation Strategy as Applied to Total Focusing Method Images: A Classification Task Perspective

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Roberto Miorelli, Leonard Le Jeune, Steve Mahaut, Souad Bannouf
Proc. ASME. QNDE2024, 2024 51st Annual Review of Progress in Quantitative Nondestructive Evaluation, V001T07A004, July 21–24, 2024
Publisher: American Society of Mechanical Engineers
Paper No: QNDE2024-135274
https://doi.org/10.1115/QNDE2024-135274
View Paper titled, A Neural Style Transfer Data Augmentation Strategy as Applied to Total Focusing Method Images: A Classification Task Perspective
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Topics: Artificial neural networks, Electromagnetic scattering, Flaw detection, Imaging, Inspection, Machine learning, Noise (Sound), Nuclear industry, Pipes, Radiation scattering
Proceedings Papers

Machine Learning-Based Digital Twin Framework for Realistic Guided Wave Signal Generation, Applied to Reliability Assessment and Global Sensitivity Analysis in SHM

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Vivek Nerlikar, Roberto Miorelli, Arnaud Recoquillay, Oscar D’Almeida
Proc. ASME. QNDE2023, 2023 50th Annual Review of Progress in Quantitative Nondestructive Evaluation, V001T05A003, July 24–27, 2023
Publisher: American Society of Mechanical Engineers
Paper No: QNDE2023-118498
https://doi.org/10.1115/QNDE2023-118498
View Paper titled, Machine Learning-Based Digital Twin Framework for Realistic Guided Wave Signal Generation, Applied to Reliability Assessment and Global Sensitivity Analysis in SHM
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Topics: Digital twin, Machinery, Reliability, Sensitivity analysis, Signals, Structural health monitoring, Uncertainty, Waves
Proceedings Papers

A Deep Learning Framework for Efficient Global Sensitivity Analysis and Shap Values Calculations Applied to Eddy Current Testing Problems

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Gerardo E. Granados, Roberto Miorelli, Filippo Gatti, Didier Clouteau
Proc. ASME. QNDE2023, 2023 50th Annual Review of Progress in Quantitative Nondestructive Evaluation, V001T10A001, July 24–27, 2023
Publisher: American Society of Mechanical Engineers
Paper No: QNDE2023-118352
https://doi.org/10.1115/QNDE2023-118352
View Paper titled, A Deep Learning Framework for Efficient Global Sensitivity Analysis and Shap Values Calculations Applied to Eddy Current Testing Problems
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Topics: Artificial neural networks, Eddy current testing, Sensitivity analysis