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合肥物质科学研究院 [12]
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期刊论文 [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:3/0
  |  
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
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  |  
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:51/0
  |  
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: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:50/0
  |  
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)
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
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  |  
浏览/下载:103/0
  |  
提交时间:2020/12/28
Micro-milling
Cutting force model
Tool runout
Cutting force coefficient identification
Tool wear monitoring
On-line Monitoring of Tool Wear Conditions in Machining Processes Based on Machine Tool Data [基于机床信息的加工过程刀具磨损状态在线监测]
期刊论文
Zhongguo Jixie Gongcheng/China Mechanical Engineering, 2019, 卷号: 30, 页码: 220-225
作者:
Lu, Z.
;
Ma, P.
;
Xiao, J.
;
Wang, M.
;
Tang, X.
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2019/12/30
Computer architecture
Condition monitoring
Convolution
Data acquisition
Lime
Machine tools
Machining
Machining centers
Neural networks
Voltage measurement
Wear of materials
Convolutional neural network
Online monitoring
Process information
Recognition models
Tool condition monitoring
Tool wear
Tool wear condition monitoring
Unified architecture
Cutting tools
A machine vision system for micro-milling tool condition monitoring
期刊论文
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
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  |  
浏览/下载:14/0
  |  
提交时间:2019/11/11
Tool wear
Tool condition monitoring
Machine vision
Micro milling
Digital image processing
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