Data fusion and machine learning for bridge damage detection
This study presents a new approach for bridge damage detection using multi-level data fusion and anomaly detection techniques. The approach utilises as input data accelerations, deflections and bending moments, measured at multiple sensor locations on a bridge subjected to a moving vehicle. A damage...
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| Main Authors: | , , |
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| Format: | Default Conference proceeding |
| Published: |
2022
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| Subjects: | |
| Online Access: | https://hdl.handle.net/2134/20223417.v1 |
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