A holistic approach for improving milling machine cutting tool wear prediction
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence
Link
https://link.springer.com/content/pdf/10.1007/s10489-023-04793-0.pdf
Reference36 articles.
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4. Benkedjouh T, Medjaher K, Zerhouni N, Rechak S (2013) Remaining useful life estimation based on nonlinear feature reduction and support vector regression. Eng Appl Artif Intell 26(7):1751–1760
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1. Tool wear prediction based on kernel principal component analysis and least square support vector machine;Measurement Science and Technology;2024-07-24
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