A data-driven approach for tool wear recognition and quantitative prediction based on radar map feature fusion

标题
A data-driven approach for tool wear recognition and quantitative prediction based on radar map feature fusion
作者
关键词
Tool wear monitoring, Radar map feature fusion, Tool health indicator, Adaboost-DT, SBiLSTM
出版物
MEASUREMENT
Volume 185, Issue -, Pages 110072
出版商
Elsevier BV
发表日期
2021-08-25
DOI
10.1016/j.measurement.2021.110072

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