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Chinese Academy of Sciences Institutional Repositories Grid
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浏览/检索结果: 共7条,第1-7条 帮助

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Interpretable deep learning approach for tool wear monitoring in high-speed milling 期刊论文  OAI收割
COMPUTERS IN INDUSTRY, 2022, 卷号: 138
作者:  
Guo, Hao;  Zhang, Yu;  Zhu, Kunpeng
  |  收藏  |  浏览/下载:74/0  |  提交时间:2022/05/16
Pyramid LSTM Network for Tool Condition Monitoring 期刊论文  OAI收割
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2022, 卷号: 71
作者:  
Guo, Hao;  Lin, Xin;  Zhu, Kunpeng
  |  收藏  |  浏览/下载:41/0  |  提交时间:2022/12/23
Tool wear estimation and life prognostics in milling: Model extension and generalization 期刊论文  OAI收割
MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2021, 卷号: 155
作者:  
Zhang, Yu;  Zhu, Kunpeng;  Duan, Xianyin;  Li, Si
  |  收藏  |  浏览/下载:32/0  |  提交时间:2021/04/26
A Switching Hidden Semi-Markov Model for Degradation Process and Its Application to Time-Varying Tool Wear Monitoring 期刊论文  OAI收割
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2021, 卷号: 17
作者:  
Liu, Tongshun;  Zhu, Kunpeng
  |  收藏  |  浏览/下载:37/0  |  提交时间:2021/03/15
Micro-milling tool wear monitoring under variable cutting parameters and runout using fast cutting force coefficient identification method 期刊论文  OAI收割
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2020
作者:  
Liu, Tongshun;  Zhu, Kunpeng;  Wang, Gang
  |  收藏  |  浏览/下载:42/0  |  提交时间:2020/12/28
A generic tool wear model and its application to force modeling and wear monitoring in high speed milling 期刊论文  OAI收割
MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2019, 卷号: 115, 期号: 无, 页码: 147-161
作者:  
Zhu, Kunpeng;  Zhang, Yu
  |  收藏  |  浏览/下载:27/0  |  提交时间:2019/12/25
A machine vision system for micro-milling tool condition monitoring 期刊论文  OAI收割
PRECISION ENGINEERING-JOURNAL OF THE INTERNATIONAL SOCIETIES FOR PRECISION ENGINEERING AND NANOTECHNOLOGY, 2018, 卷号: 52, 期号: 无, 页码: 183-191
作者:  
Dai, Yiquan;  Zhu, Kunpeng
  |  收藏  |  浏览/下载:20/0  |  提交时间:2019/11/11