×
验证码:
换一张
忘记密码?
记住我
CORC
首页
科研机构
检索
知识图谱
申请加入
托管服务
登录
注册
在结果中检索
科研机构
合肥物质科学研究院 [12]
内容类型
期刊论文 [12]
发表日期
2023 [2]
2022 [1]
2021 [4]
2020 [1]
2018 [1]
2017 [2]
更多...
×
知识图谱
CORC
开始提交
已提交作品
待认领作品
已认领作品
未提交全文
收藏管理
QQ客服
官方微博
反馈留言
浏览/检索结果:
共12条,第1-10条
帮助
限定条件
内容类型:期刊论文
专题:合肥物质科学研究院
第一署名单位
第一作者单位
通讯作者单位
已选(
0
)
清除
条数/页:
5
10
15
20
25
30
35
40
45
50
55
60
65
70
75
80
85
90
95
100
排序方式:
请选择
作者升序
作者降序
题名升序
题名降序
发表日期升序
发表日期降序
提交时间升序
提交时间降序
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
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:52/0
  |  
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)
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:104/0
  |  
提交时间:2020/12/28
Micro-milling
Cutting force model
Tool runout
Cutting force coefficient identification
Tool wear monitoring
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
收藏
  |  
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
The monitoring of micro milling tool wear conditions by wear area estimation
期刊论文
MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2017, 卷号: 93, 页码: 80-91
作者:
Zhu, Kunpeng
;
Yu, Xiaolong
收藏
  |  
浏览/下载:22/0
  |  
提交时间:2018/07/26
Micro Milling
Tool Wear Area Estimation
Morphological Component Analysis
Region Growing
©版权所有 ©2017 CSpace - Powered by
CSpace