GCr15 Machining Tool Wear Based on Power Signals and Deep Learning Research

被引：0
|
作者：
Liu, Bin [1 ]
Li, Wei [1 ]
Wang, Jun [1 ]
Guo, Zhiwei [1 ]
Wei, Xinyu [1 ]
Wang, Taiheng [1 ]
机构：
[1] School of Machinery and Transportation, Southwest Forestry University, Kunming, China
来源：
Journal of Network Intelligence | 2023年 / 8卷 / 04期
关键词：
Compendex;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Wear of materials
引用
收藏
页码：1466 / 1479
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