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合肥物质科学研究院 [17]
兰州理工大学 [12]
西安交通大学 [8]
北京航空航天大学 [6]
华南理工大学 [6]
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期刊论文 [45]
会议论文 [27]
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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:2/0
  |  
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:14/0
  |  
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
COMPUTERS IN INDUSTRY, 2022, 卷号: 138
作者:
Guo, Hao
;
Zhang, Yu
;
Zhu, Kunpeng
收藏
  |  
浏览/下载:20/0
  |  
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
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:40/0
  |  
提交时间:2021/08/30
Micro milling
Tool wear area
Empirical statistical model
Milling force
Grey relational degree
Optimization of milling process parameters and prediction of abrasive wear rate increment based on cutting force experiment
期刊论文
ADVANCES IN MECHANICAL ENGINEERING, 2021, 卷号: 13, 期号: 8
作者:
Li, Fei
;
Liu, Jun
收藏
  |  
浏览/下载:7/0
  |  
提交时间:2021/10/14
Abrasive wear rate increment
gray relational method
parameter optimization
BP neural network
increment prediction
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
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  |  
浏览/下载:50/0
  |  
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
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  |  
浏览/下载:13/0
  |  
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
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  |  
浏览/下载:49/0
  |  
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)
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