×
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
兰州理工大学 [38]
苏州纳米技术与纳米仿... [5]
中国水产科学院 [4]
山东大学 [2]
复旦大学上海医学院 [1]
内容类型
会议论文 [50]
发表日期
2020 [1]
2019 [2]
2017 [7]
2016 [2]
2015 [1]
2013 [11]
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50条,第1-10条
帮助
限定条件
内容类型:会议论文
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
A Kind of Faults Knowledge Discovery Pattern by Means of Rough Set Theory
会议论文
Huddersfield, United kingdom, September 3, 2019 - September 5, 2019
作者:
Zhao, Rongzhen
;
Wu, Yaochun
;
He, Tianjing
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2020/11/15
Big data
Classification (of information)
Condition monitoring
Data structures
Expert systems
Knowledge acquisition
Machinery
Data classification
Data structure model
Data-driven methods
Engineering project
Equivalent relation
Inclusion relation
Knowledge conversion
Rough set theory (RST)
PAX2 is a useful biomarker in distinguishing endometrial neoplastic lesions from benign mimics
会议论文
108th Annual Meeting of the United-States-and-Canadian-Academy-of-Pathology (USCAP) - Unlocking Your Ingenuity, MAR 16-21, 2019
作者:
Niu, Shuang
;
Zhao, Ruijiao
;
Wang, Yiying
;
Chen, Hao
;
Zhou, Ping
收藏
  |  
浏览/下载:11/0
  |  
提交时间:2019/12/31
PAX2 is a useful biomarker in distinguishing endometrial neoplastic lesions from benign mimics
会议论文
108th Annual Meeting of the United-States-and-Canadian-Academy-of-Pathology (USCAP) - Unlocking Your Ingenuity, MAR 16-21, 2019
作者:
Niu, Shuang
;
Zhao, Ruijiao
;
Wang, Yiying
;
Chen, Hao
;
Zhou, Ping
收藏
  |  
浏览/下载:18/0
  |  
提交时间:2019/12/31
Application of EWT AR model and FCM clustering in rolling bearing fault diagnosis
会议论文
Harbin, China, July 9, 2017 - July 12, 2017
作者:
Li, Jipu
;
Zhao, Rongzhen
;
Deng, Linfeng
收藏
  |  
浏览/下载:0/0
  |  
提交时间:2020/11/15
Failure analysis
Fault detection
Frequency modulation
Roller bearings
Vibration analysis
Wavelet transforms
AR models
Auto regressive models
Fault diagnosis method
Fault identifications
Fuzzy C mean clustering
Fuzzy C mean clustering (FCM)
High dimensional feature
Locality preserving projections
Fault diagnosis model based on NRS and EEMD for rolling-element bearing
会议论文
Harbin, China, July 9, 2017 - July 12, 2017
作者:
Lian, Jin
;
Zhao, Rongzhen
收藏
  |  
浏览/下载:0/0
  |  
提交时间:2020/11/15
Classification (of information)
Computer aided diagnosis
Failure analysis
Fault detection
Support vector machines
Time domain analysis
Classification algorithm
EEMD
Ensemble empirical mode decompositions (EEMD)
Fault diagnosis model
Fault identifications
Feature attributes
Neighborhood rough sets
Rolling Element Bearing
Application of EWT AR model and FCM Clustering in Rolling Bearing Fault Diagnosis
会议论文
作者:
Li, Jipu
;
Zhao, Rongzhen
;
Deng, Linfeng
收藏
  |  
浏览/下载:7/0
  |  
提交时间:2019/11/15
empirical wavelet transform
AR model
locality preserving projection
fuzzy C-Mean clustering
Fault Feature Extraction of Rolling Bearings Based on Variational Mode Decomposition and Singular Value Entropy
会议论文
作者:
Zhang, Chen
;
Zhao, Rongzhen
;
Deng, Linfeng
收藏
  |  
浏览/下载:9/0
  |  
提交时间:2019/11/15
Fault Diagnosis Model Based on NRS and EEMD for Rolling-element Bearing
会议论文
作者:
Lian, Jin
;
Zhao, Rongzhen
收藏
  |  
浏览/下载:12/0
  |  
提交时间:2019/11/15
NRS
EEMD
rolling-element bearing
fault diagnosis
Static and dynamic characteristics modeling for CK61125 CNC lathe bed basing on FEM
会议论文
作者:
Yang, Hongping
;
Zhao, Rongzhen
;
Li, Weiqian
;
Yang, Cheng
;
Zhen, Li
收藏
  |  
浏览/下载:16/0
  |  
提交时间:2019/11/15
lathe bed
static
dynamic
FEM
Static and Dynamic Characteristics Modeling for CK61125 CNC Lathe Bed Basing on FEM
会议论文
China, November 28, 2016 - November 30, 2016
作者:
Yang, Hongping
;
Zhao, Rongzhen
;
Li, Weiqian
;
Yang, Cheng
;
Zhen, Li
收藏
  |  
浏览/下载:0/0
  |  
提交时间:2020/11/15
Dynamics
Lathes
Machining
Manufacture
Natural frequencies
Bed characteristics
Finite element analysis method
Machining Accuracy
Maximum strains
Maximum stress
Resonance frequencies
static
Static and dynamic characteristics
©版权所有 ©2017 CSpace - Powered by
CSpace