Acoustic emission-based damage localization using wavelet-assisted deep learning
Abstract Acoustic Emission (AE) has emerged as a popular damage detection and localization tool due to its high performance in identifying minor damage or crack. Due to the high sampling rate, AE sensors result in massive data during long-term monitoring of large-scale civil structures. Analyzing su...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
SpringerOpen
2022-04-01
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| Series: | Journal of Infrastructure Preservation and Resilience |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s43065-022-00051-8 |