Searched for: author:"Benedictus, R."
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Ewald, V.A. (author), Goby, Xavier (author), Jansen, Hidde (author), Groves, R.M. (author), Benedictus, R. (author)
The near-term artificial intelligence, commonly referred as ‘weak AI’ in the last couple years was achieved thanks to the advances in machine learning (ML), particularly deep learning, which has currently the best in-class performance outperforming other machine learning algorithms. In the deep learning framework, many natural tasks such as...
conference paper 2018
document
Ewald, V.A. (author), Groves, R.M. (author), Benedictus, R. (author)
In this paper, we investigated transducer placement strategies for detecting cracks in primary aircraft structures using ultrasonic Structural Health Monitoring (SHM). The approach developed is for an expected damage location based on fracture mechanics, for example fatigue crack growth in a high stress location. To assess the performance of the...
journal article 2018
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Ewald, V.A. (author), Groves, R.M. (author), Benedictus, R. (author)
In our previous work, we demonstrated how to use inductive bias to infuse a convolutional neural network (CNN) with domain knowledge from fatigue analysis for aircraft visual NDE. We extend this concept to SHM and therefore in this paper, we present a novel framework called DeepSHM which involves data augmentation of captured sensor signals...
conference paper 2019