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厦门大学 [29]
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Physics-Guided Deep Learning Method for Tool Condition Monitoring in Smart Machining System
期刊论文
IEEE-ASME TRANSACTIONS ON MECHATRONICS, 2023
作者:
Li, Shenshen
;
Lin, Xin
;
Shi, Hu
;
Shi, Yungao
;
Zhu, Kunpeng
收藏
  |  
浏览/下载:4/0
  |  
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
COMPUTERS IN INDUSTRY, 2023, 卷号: 144
作者:
Zhu, Kunpeng
;
Guo, Hao
;
Li, Si
;
Lin, Xin
收藏
  |  
浏览/下载:16/0
  |  
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
MICROMACHINES, 2022, 卷号: 13
作者:
Gao, Shuaishuai
;
Duan, Xianyin
;
Zhu, Kunpeng
;
Zhang, Yu
收藏
  |  
浏览/下载:19/0
  |  
提交时间:2022/12/23
cutting force
mechanical modeling
micro-end milling
tool edge radius
tool flank wear
tool runout
Investigating immunosensor for determination of depression marker-Apo-A4 based on patterning AuNPs and N-Gr nanomaterials onto ITO-PET flexible electrodes with amplifying signal
期刊论文
Analytica Chimica Acta, 2022, 卷号: 1224, 期号: 340217
作者:
Wang Yanping
;
Sun Bolu
;
Wei Hong
;
Li Yuanyuan
;
Hu Fangdi
收藏
  |  
浏览/下载:26/0
  |  
提交时间:2022/08/11
ITO-PET films
Nitrogen-doped graphene (N-Gr)
Flexible electrodes
Human apolipoprotein A4 (Apo-A4)
Electrochemical immunosensor
Interpretable deep learning approach for tool wear monitoring in high-speed milling
期刊论文
COMPUTERS IN INDUSTRY, 2022, 卷号: 138
作者:
Guo, Hao
;
Zhang, Yu
;
Zhu, Kunpeng
收藏
  |  
浏览/下载:22/0
  |  
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
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2022, 卷号: 71
作者:
Guo, Hao
;
Lin, Xin
;
Zhu, Kunpeng
收藏
  |  
浏览/下载:6/0
  |  
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
Tool wear estimation and life prognostics in milling: Model extension and generalization
期刊论文
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:53/0
  |  
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
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:16/0
  |  
提交时间:2021/08/30
Hybrid model for the analysis of the modal properties of a ball screw vibration system
期刊论文
JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY, 2021, 卷号: 35, 期号: 2, 页码: 461-470
作者:
Wu, Qin
;
Gu, Fengshou
;
Ball, Andrew
;
Huang, Hua
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2021/03/12
Ball screws
Frequency response
Lead screws
Particle beams
Vibration control
Bending vibrations
Coupling vibration
Hybrid modeling methods
Remaining component
Torsional vibration
Transverse vibrations
Vibration characteristics
Vibration controller
A generic tool wear model and its application to force modeling and wear monitoring in high speed milling
期刊论文
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:66/0
  |  
提交时间:2019/12/25
Tool wear monitoring
Adjustable coefficients
Tool life
High speed milling
Milling force
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