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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
Health condition monitoring of bearings based on multifractal spectrum feature with modified empirical mode decomposition-multifractal detrended fluctuation analysis
期刊论文
STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL, 2022
作者:
Chen, Guangyi
;
Yan, Changfeng
;
Meng, Jiadong
;
Wang, Zonggang
;
Wu, Lixiao
收藏
  |  
浏览/下载:25/0
  |  
提交时间:2022/03/01
Empirical mode decomposition-multifractal detrended fluctuation analysis
scaling exponent
health condition monitoring
step-moving window
multifractal spectrum feature
deterministic
random separation
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
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
收藏
  |  
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
收藏
  |  
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)
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:103/0
  |  
提交时间:2020/12/28
Micro-milling
Cutting force model
Tool runout
Cutting force coefficient identification
Tool wear monitoring
A Risk Assessment Approach of Hypertension Based on Mobile Crowd Sensing
期刊论文
JOURNAL OF INFORMATION SCIENCE AND ENGINEERING, 2020, 卷号: 36
作者:
Zhao, Huan-Huan
;
Ma, Zu-Chang
;
Sun, Yi-Ning
收藏
  |  
浏览/下载:24/0
  |  
提交时间:2020/10/26
mobile crowd sensing
hypertension
risk assessment
BP neural network
real time
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