Sequential Modelling in Data-Driven Approach for Structural Health Monitoring by Recurrent Convolutional Neural Networks

Application of LSTM network for Structural Health Monitoring & Non-Destructive Testing

View the Project on GitHub xaviergoby/ConvLSTM-Computer-Vision-for-Structural-Health-Monitoring-SHM-and-NonDestructive-Testing-NDT

“Sequential Modelling in Data-Driven Approach for Structural Health Monitoring by Recurrent Convolutional Neural Networks”

Conference: 20th World Conference on Non-Destructive Testing
Location & Date: South Korea, Seoul - June 2020
Co-authors: Ewald V., Goby X., Groves R.M. & Benedictus R.
Labarotory: TU Delft Aerospace NDT Lab

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Requirements:

I would like to wholeheartedly express my sincere gratitude towards Vincentius Ewald & Mr. Roger Groves for having provided me with this mmarvellous opportunity to collaborate with them on this research project.
I will never be able to thank them enough.

Links:
TU Delft
TU Delft NDT Labarotory

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