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Journal Articles

Probabilistic Deep Learning Approach for Fatigue Crack Width Estimation and Prognosis in Lap Joint Using Acoustic Waves

Shivam Ojha, Amit Shelke
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): 011003.
Paper No: NDE-24-1018
https://doi.org/10.1115/1.4065550
Published Online: July 30, 2024
View Article titled, Probabilistic Deep Learning Approach for Fatigue Crack Width Estimation and Prognosis in Lap Joint Using Acoustic Waves
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Topics: Artificial neural networks, Deep learning, Fracture (Materials), Uncertainty, Waves, Aluminum, Fatigue cracks, Acoustics
Journal Articles

Evaluating Model Robustness for Defect Identification and Classification in a Composite Aerostructure Material

Austin Yunker, Rami Lake, Rajkumar Kettimuthu, Zachary Kral
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): 011001.
Paper No: NDE-23-1045
https://doi.org/10.1115/1.4065474
Published Online: July 26, 2024
View Article titled, Evaluating Model Robustness for Defect Identification and Classification in a Composite Aerostructure Material
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Topics: Composite materials, Convolutional neural networks, Deep learning, Nondestructive evaluation, Robustness, Signals, Architecture, Ultrasonic testing, Inspection, Testing
Journal Articles

Research on Advanced Prediction of Major Equipment Fatigue Load Based on Deep Learning

Accepted Manuscript
Bowen Yang, Chenxu Yang, Junzhou Huo, Xiangfeng Si
Journal: Journal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems
Publisher: ASME
Article Type: Research Papers
ASME J Nondestructive Evaluation.
Paper No: NDE-23-1029
https://doi.org/10.1115/1.4065819
Published Online: June 24, 2024
View Article titled, Research on Advanced Prediction of Major Equipment Fatigue Load Based on Deep Learning
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Topics: Deep learning, Fatigue, Nondestructive evaluation, Stress, Convolutional neural networks, Errors, Fatigue life, Ablation (Vaporization technology), Aerospace engineering, Numerical analysis
Journal Articles

Learning-Based Approach for Automated Surface Inspection with Industrial Tomography Imaging

Majd Saied, Reda Ali, Clovis Francis, Giovanni Radilla, Ziad Noun
Journal: Journal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems
Publisher: ASME
Article Type: Research Papers
ASME J Nondestructive Evaluation. August 2024, 7(3): 031004.
Paper No: NDE-24-1005
https://doi.org/10.1115/1.4065428
Published Online: May 24, 2024
View Article titled, Learning-Based Approach for Automated Surface Inspection with Industrial Tomography Imaging
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Topics: Convolutional neural networks, Flaw detection, Imaging, Inspection, Machine learning, Steel, Support vector machines, Deep learning, Feature extraction, Algorithms