Application of machine learning-base k-means clustering for feature recognition of fibre bragg grating acoustic signal from different delamination sizes
Continuous monitoring of composite structures is crucial to preserve their integrity over their entire service life, particularly when it comes to detecting subtle interior degradation like delamination. Extensive research has been dedicated to examining the utilisation of conventional electrical se...
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| Main Authors: | , , |
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| Format: | Conference or Workshop Item |
| Language: | English English |
| Published: |
IEEE
2024
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/42621/1/Application_of_Machine_Learning-Base_K-Means_Clustering_for_Feature_Recognition_of_Fibre_Bragg_Grating_Acoustic_Signal.pdf http://umpir.ump.edu.my/id/eprint/42621/2/Application_of_Machine_Learning-Base_K-Means_Clustering_for_Feature_Recognition_of_Fibre_Bragg_Grating_Acoustic_Signal_from_Different_Delamination_Sizes.pdf http://umpir.ump.edu.my/id/eprint/42621/ https://doi.org/10.1109/ISIEA61920.2024.10607325 |
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