Milling tool wear prediction using multi-sensor feature fusion based on stacked sparse autoencoders
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Title
Milling tool wear prediction using multi-sensor feature fusion based on stacked sparse autoencoders
Authors
Keywords
Stacked sparse autoencoders, Feature extraction, Data fusion, Principal component analysis, Tool wear prediction, Milling
Journal
MEASUREMENT
Volume 190, Issue -, Pages 110719
Publisher
Elsevier BV
Online
2022-01-07
DOI
10.1016/j.measurement.2022.110719
References
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