Structural Damage Detection in Real Time: Implementation of 1D Convolutional Neural Networks for SHM Applications
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Publisher
Springer International Publishing
Link
http://link.springer.com/content/pdf/10.1007/978-3-319-54109-9_6
Reference12 articles.
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2. Abdeljaber O, Avci O, Do N.T., Gul M., Celik O., Catbas F.N., Quantification of structural damage with self-organizing maps BT—Structural health monitoring, damage detection and mechatronics. In: Wicks A., Niezrecki C. (eds.) Proceedings of the 34th IMAC, A Conference and Exposition on Structural Dynamics 2016, vol. 7, pp. 47–57. Springer International Publishing, Cham (2016). doi: 10.1007/978-3-319-29956-3_5
3. Abdeljaber O., Avci O., Nonparametric structural damage detection algorithm for ambient vibration response: utilizing artificial neural networks and self-organizing maps. J. Archit. Eng. 22(2) 04016004 (2016). doi: 10.1061/(ASCE)AE.1943-5568.0000205
4. Dackermann U., Li J., Samali B., Dynamic-based damage identification using neural network ensembles and damage index method. Adv. Struct. Eng. 13, 1001–1016 (2010). doi: 10.1260/1369-4332.13.6.1001
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