Application of machine learning-base k-means clustering for feature recognition of fibre bragg grating acoustic signal from different delamination sizes

• Main Authors: Ihsan Naiman, Ibrahim, Mohd Hafizi, Zohari, Mohd Fadhlan, Mohd Yusof
• Format: Conference or Workshop Item
• Language: English; English
• Published: IEEE 2024
• Subjects: T Technology (General); TJ Mechanical engineering and machinery
• 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

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...