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

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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Bibliographic Details
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

Internet

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

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