An Application of Machine Learning Methods to Cutting Tool Path Clustering and RUL Estimation in Machining

An Application of Machine Learning Methods to Cutting Tool Path Clustering and RUL Estimation in Machining

Machine learning has been widely used in manufacturing, leading to significant advances in diverse problems, including the prediction of wear and remaining useful life (RUL) of machine tools. However, the data used in many cases correspond to simple and stable processes that differ from practical ap...

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Bibliographic Details
Main Authors: Fabio C. Zegarra, Juan Vargas-Machuca, Avid Roman-Gonzalez, Alberto M. Coronado
Format: Article
Language:English
Published: Publishing House of Wrocław Board of Scientific Technical Societies Federation NOT 2023-08-01
Series:Journal of Machine Engineering
Subjects:
k-means clustering
feature extraction
unsupervised learning
times series
Online Access:http://jmacheng.not.pl/An-Application-of-Machine-Learning-Methods-to-Cutting-Tool-Path-Clustering-and-RUL,171432,0,2.html
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