Convolutional neural network based structural health monitoring for rocking bridge system by encoding time‐series into images
Author:
Affiliation:
1. Civil and Environmental Engineering Department Florida International University Miami Florida USA
2. Graduate Student, Data Engineering and Analytics Technical University of Munich Munich Germany
Publisher
Wiley
Subject
Mechanics of Materials,Building and Construction,Civil and Structural Engineering
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1002/stc.2897
Reference41 articles.
1. Vibration‐based structural condition assessment using convolution neural networks
2. Recent progress and future trends on damage identification methods for bridge structures
3. Utilization of structural health monitoring in long-span bridges: Case studies
4. Structural health monitoring of a 250‐m super‐tall building and operational modal analysis using the fast Bayesian FFT method
5. Bayesian optimal estimation for output-only nonlinear system and damage identification of civil structures
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