The capacity of statistical features extracted from multiple signals to predict tool wear in the drilling process
出版年份 2019 全文链接
标题
The capacity of statistical features extracted from multiple signals to predict tool wear in the drilling process
作者
关键词
Tool wear, Drilling, Machine learning, Tool condition monitoring
出版物
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
Volume -, Issue -, Pages -
出版商
Springer Nature
发表日期
2019-01-24
DOI
10.1007/s00170-019-03300-5
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- Cloud-Based Parallel Machine Learning for Tool Wear Prediction
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