Damage detection in structural health monitoring using hybrid convolution neural network and recurrent neural network
The process of damage identification in Structural Health Monitoring (SHM) gives us a lot of practical information about the current status of the inspected structure. The target of the process is to detect damage status by processing data collected from sensors, followed by identifying the differen...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Gruppo Italiano Frattura
2022-01-01
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| Series: | Fracture and Structural Integrity |
| Subjects: | |
| Online Access: | https://www.fracturae.com/index.php/fis/article/view/3329/3440 |
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