Hybrid data-driven physics-based model fusion framework for tool wear prediction

标题
Hybrid data-driven physics-based model fusion framework for tool wear prediction
作者
关键词
Tool wear, Sensor-based monitoring, Particle filter, Fusion framework
出版商
Springer Nature
发表日期
2018-12-12
DOI
10.1007/s00170-018-3157-5

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