Development of laser cleaning state classification model through the acquired acoustic signal using the empirical mode decomposition and one one-dimensional convolutional neural network

Laser cleaning is an efficient, non-invasive method that utilizes high-energy laser beams to eliminate contaminants. However, variations in laser process parameters can lead to challenges such as inconsistent cleaning depth, thermal damage, and uneven surface treatment, ultimately compromising the q...

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Bibliographic Details

Main Authors:	Mohd Fadhlan, Mohd Yusof, Syafiq Ahmad, Abdul Aleem, M. A. M., Halil, M., Ishak
Format:	Article
Language:	en
Published:	Faculty Mechanical Engineering, UMP 2025
Subjects:	TA Engineering (General). Civil engineering (General) TJ Mechanical engineering and machinery
Online Access:	https://umpir.ump.edu.my/id/eprint/47418/1/Development%20of%20laser%20cleaning%20state%20classification%20model%20through%20the%20acquired%20acoustic%20signal.pdf https://doi.org/10.15282/jmes.19.3.2025.9.0847 https://umpir.ump.edu.my/id/eprint/47418/
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