Deep Learning Algorithms for Structural Condition Identification with Limited Monitoring Data
Author:
Affiliation:
1. School of Biomedical Engineering and Imaging Science, King’s College London, London, the United Kingdom
2. Department of Civil and Environmental Engineering, University of Surrey, Guildford, the United Kingdom
Publisher
ICE Publishing
Link
https://www.icevirtuallibrary.com/doi/pdf/10.1680/icsic.64669.421
Reference13 articles.
1. Real-time vibration-based structural damage detection using one-dimensional convolutional neural networks
2. 1-D CNNs for structural damage detection: Verification on a structural health monitoring benchmark data
3. Deep Learning-Based Crack Damage Detection Using Convolutional Neural Networks
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