Hybrid modal-machine learning damage identification approach for beam-like structures
Data-driven damage detection methods are widely researched and implemented due to the availability of advanced sensing and cloud technologies, where machine learning models are used to process the various data collected from the sensors for damage diagnosis. Supervised methods have shown to be accur...
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Main Authors: | , , , |
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Format: | Article |
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SAGE Publications
2024
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Online Access: | http://eprints.um.edu.my/47152/ https://doi.org/10.1177/10775463231209008 |
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