×
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
西安交通大学 [26]
安徽大学 [2]
力学研究所 [1]
厦门大学 [1]
兰州理工大学 [1]
北京航空航天大学 [1]
更多...
内容类型
期刊论文 [29]
会议论文 [5]
发表日期
2021 [1]
2019 [3]
2018 [1]
2017 [4]
2016 [3]
2015 [3]
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34条,第1-10条
帮助
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
Analysis and prediction of high-speed train wheel wear based on SIMPACK and backpropagation neural networks
期刊论文
EXPERT SYSTEMS, 2021, 卷号: 38, 期号: 7, 页码: 11
作者:
Wang, Shuwen
;
Yan, Hao
;
Liu, Caixia
;
Fan, Ning
;
Liu XM(刘小明)
收藏
  |  
浏览/下载:27/0
  |  
提交时间:2021/11/01
BP neural networks
high-speed train
SIMPACK
wheel wear
Restoration of low-informative image for robust debris shape measurement in on-line wear debris monitoring
期刊论文
MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2019, 卷号: 114, 页码: 539-555
作者:
Wu, Hongkun
;
Li, Ruowei
;
Kwok, Ngai Ming
;
Peng, Yeping
;
Wu, Tonghai
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2019/11/19
Wear debris
Machine condition monitoring
Three dimensional measurement
Image restoration
Image fusion
An Inductive Debris Sensor Based on a High-Gradient Magnetic Field
期刊论文
IEEE SENSORS JOURNAL, 2019, 卷号: 19, 页码: 2879-2886
作者:
Feng, Song
;
Yang, Leilei
;
Qiu, Guang
;
Luo, Jiufei
;
Li, Rui
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2019/11/19
on-line wear monitoring
high-gradient magnetic field
Inductive debris sensor
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
Prediction of wear trend of engines via on-line wear debris monitoring
期刊论文
TRIBOLOGY INTERNATIONAL, 2018, 卷号: 120, 页码: 510-519
作者:
Cao, Wei
;
Dong, Guangneng
;
Xie, You-Bai
;
Peng, Zhongxiao
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2019/11/26
Wear debris
Oil condition monitoring
Ferrography
Improved relevance vector machine
Wear state identification using dynamic features of wear debris for on-line purpose
期刊论文
WEAR, 2017, 卷号: 376, 页码: 1885-1891
作者:
Peng, Yeping
;
Wu, Tonghai
;
Wang, Shuo
;
Peng, Zhongxiao
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2019/11/26
Wear state identification
Wear mechanism analysis
Dynamic features of wear particles
On-line machine condition monitoring
Morphological Feature Extraction Based on Multiview Images for Wear Debris Analysis in On-line Fluid Monitoring
期刊论文
TRIBOLOGY TRANSACTIONS, 2017, 卷号: 60, 页码: 408-418
作者:
Wu, Tonghai
;
Peng, Yeping
;
Wang, Shuo
;
Chen, Feng
;
Kwok, Ngaiming
收藏
  |  
浏览/下载:10/0
  |  
提交时间:2019/11/26
feature extraction
wear debris analysis
On-line monitoring
object detection and tracking
On-line Monitoring for Cutting Tool Wear Condition Based on the Parameters
期刊论文
2ND INTERNATIONAL CONFERENCE ON DESIGN, MATERIALS, AND MANUFACTURING, 2017, 卷号: Vol.220
作者:
Xie,Feng
;
Han,Fenghua
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2019/04/22
On-line Monitoring for Cutting Tool Wear Condition Based on the Parameters
期刊论文
IOP Conference Series: Materials Science and Engineering, 2017, 卷号: Vol.220 No.1, 页码: 012038
作者:
Fenghua Han and Feng Xie
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2019/04/24
Tribological assessment of sliding pairs under damped harmonic excitation loading based on on-line monitoring methods
期刊论文
TRIBOLOGY INTERNATIONAL, 2016, 卷号: 96, 期号: [db:dc_citation_issue], 页码: 225-236
作者:
Yuan, Wei
;
Dong, Guangneng
;
Chin, K. S.
;
Hua, Meng
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2019/12/02
Tribology
Dynamic loading
Wear track
On-line monitoring
©版权所有 ©2017 CSpace - Powered by
CSpace