机构

• 合肥物质科学研究院 [17]
• 自动化研究所 [1]

采集方式

• OAI收割 [18]

内容类型

• 期刊论文 [18]

发表日期

• 2024 [1]
• 2023 [2]
• 2022 [3]
• 2021 [4]
• 2020 [1]
• 2019 [1]
• 更多

学科主题

筛选

浏览/检索结果: 共18条，第1-10条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择提交时间升序提交时间降序发表日期升序发表日期降序题名升序题名降序作者升序作者降序 Deep convolutional neural network based on self-distillation for tool wear recognition 期刊论文  OAI收割 ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 2024, 卷号: 132, 页码: 12 作者:  Pan, Yi;  Hao, Ling;  He, Jianliang;  Ding, Kun;  Yu, Qiang   |  收藏  |  浏览/下载：11/0  |  提交时间：2024/03/27 Tool fault diagnosis  Mobile inspection robots  Self-distillation  Industry 4.0  Deep learning   Physics-Guided Deep Learning Method for Tool Condition Monitoring in Smart Machining System 期刊论文  OAI收割 IEEE-ASME TRANSACTIONS ON MECHATRONICS, 2023 作者:  Li, Shenshen;  Lin, Xin;  Shi, Hu;  Shi, Yungao;  Zhu, Kunpeng   |  收藏  |  浏览/下载：5/0  |  提交时间：2023/11/17 Deep learning  physics-guided data model  tool condition monitoring   Online tool wear monitoring by super-resolution based machine vision 期刊论文  OAI收割 COMPUTERS IN INDUSTRY, 2023, 卷号: 144 作者:  Zhu, Kunpeng;  Guo, Hao;  Li, Si;  Lin, Xin   |  收藏  |  浏览/下载：35/0  |  提交时间：2022/12/22 Single image super -resolution  Sparse decomposition  Micro machining  Tool monitoring   Generic Cutting Force Modeling with Comprehensively Considering Tool Edge Radius, Tool Flank Wear and Tool Runout in Micro-End Milling 期刊论文  OAI收割 MICROMACHINES, 2022, 卷号: 13 作者:  Gao, Shuaishuai;  Duan, Xianyin;  Zhu, Kunpeng;  Zhang, Yu   |  收藏  |  浏览/下载：28/0  |  提交时间：2022/12/23 cutting force  mechanical modeling  micro-end milling  tool edge radius  tool flank wear  tool runout   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：57/0  |  提交时间：2022/05/16 Tool wear monitoring  Interpretability  Deep learning  Attention   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：25/0  |  提交时间：2022/12/23 Feature extraction  Monitoring  Milling  Computational modeling  Hidden Markov models  Employee welfare  Task analysis  Auto-encoder  network structure  pyramid long short-term memory (LSTM)  tool wear monitoring  visual analysis   In-situ tool wear area evaluation in micro milling with considering the influence of cutting force 期刊论文  OAI收割 MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2021, 卷号: 161 作者:  Li, Si;  Zhu, Kunpeng   |  收藏  |  浏览/下载：45/0  |  提交时间：2021/08/30 Micro milling  Tool wear area  Empirical statistical model  Milling force  Grey relational degree   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：25/0  |  提交时间：2021/04/26 Milling  Tool wear modeling and monitoring  Adjustable coefficients  Generalization  Genetic algorithm   An Improved Tool Wear Monitoring Method Using Local Image and Fractal Dimension of Workpiece 期刊论文  OAI收割 MATHEMATICAL PROBLEMS IN ENGINEERING, 2021, 卷号: 2021 作者:  Yu, Haicheng;  Wang, Kun;  Zhang, Ruhai;  Wu, Xiaojun;  Tong, Yulin   |  收藏  |  浏览/下载：15/0  |  提交时间：2021/08/30 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：28/0  |  提交时间：2021/03/15 Condition monitoring  degradation process  remaining useful life (RUL)  switching hidden semi-Markov model (SHSMM)  tool wear monitoring (TWM)