1-1 of 1
Keywords: data augmentation
Close
Save search
Follow your search
Access your saved searches in your account
Would you like to receive an alert when new items match your search?
Close Modal
Sort by
Journal Articles

Fatigue Damage Diagnostics of Composites Using Data Fusion and Data Augmentation With Deep Neural Networks

Shweta Dabetwar, Stephen Ekwaro-Osire, João Paulo Dias
Journal: Journal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems
Article Type: Research Papers
ASME J Nondestructive Evaluation. May 2022, 5(2): 021004.
Paper No: NDE-21-1014
DOI: https://doi.org/10.1115/1.4051947
Published Online: August 23, 2021
.... The research question developed for this paper was as follows: Can data fusion techniques used along with data augmentation improve the damage diagnostics using the convolutional neural network? The specific aims developed to answer this research question were: (1) highlighting the importance of data fusion...
View Article titled, Fatigue Damage Diagnostics of Composites Using Data Fusion and <span class="search-highlight">Data</span> <span class="search-highlight">Augmentation</span> With Deep Neural Networks
Open the PDF for Fatigue Damage Diagnostics of Composites Using Data Fusion and <span class="search-highlight">Data</span> <span class="search-highlight">Augmentation</span> With Deep Neural Networks in another window
Topics: Damage, Data fusion, Artificial neural networks, Composite materials