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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
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
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
In-situ tool wear area evaluation in micro milling with considering the influence of cutting force
期刊论文
MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2021, 卷号: 161
作者:
Li, Si
;
Zhu, Kunpeng
收藏
  |  
浏览/下载:41/0
  |  
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
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
A Switching Hidden Semi-Markov Model for Degradation Process and Its Application to Time-Varying Tool Wear Monitoring
期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2021, 卷号: 17
作者:
Liu, Tongshun
;
Zhu, Kunpeng
收藏
  |  
浏览/下载:51/0
  |  
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)
A nanotwin-based analytical model to predict dynamics in cryogenic orthogonal machining copper
期刊论文
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2020, 卷号: 111, 期号: 11-12, 页码: 3189-3205
作者:
Liu Y(刘垚)
;
Cai SL(蔡松林)
;
Chen Y(陈艳)
;
Su MY(苏明耀)
;
Dai LH(戴兰宏)
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  |  
浏览/下载:151/0
  |  
提交时间:2020/12/28
Machining
METAL-CUTTING PROCESS
Orthogonal cutting model
SURFACE INTEGRITY
Cryogenic cooling
FLOW-STRESS
Hopf bifurcation
RATE SENSITIVITY
Nanotwin
INCONEL 718
GRAIN-SIZE
STRENGTH
MICROSTRUCTURE
DEFORMATION
SPEED
Micro-milling tool wear monitoring under variable cutting parameters and runout using fast cutting force coefficient identification method
期刊论文
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2020
作者:
Liu, Tongshun
;
Zhu, Kunpeng
;
Wang, Gang
收藏
  |  
浏览/下载:105/0
  |  
提交时间:2020/12/28
Micro-milling
Cutting force model
Tool runout
Cutting force coefficient identification
Tool wear monitoring
Experimental and modelling investigation on the fretting wear of PTFE with and without electron-beam irradiation
期刊论文
WEAR, 2020, 卷号: 460, 页码: -
作者:
Li, YT
;
Pu, L
;
Xu, YZ
;
Sun, Q
;
Xu, XJ
收藏
  |  
浏览/下载:14/0
  |  
提交时间:2021/09/06
TRANSFORM RAMAN-SPECTROSCOPY
CROSS-LINKING
POLYTETRAFLUOROETHYLENE
BEHAVIOR
FRICTION
POLY(TETRAFLUOROETHYLENE)
EVOLUTION
SLIP
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