×
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 [7]
大连理工大学 [6]
重庆大学 [1]
上海大学 [1]
天津大学 [1]
武汉理工大学 [1]
更多...
内容类型
期刊论文 [13]
会议论文 [4]
发表日期
2015 [17]
×
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17条,第1-10条
帮助
限定条件
发表日期:2015
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
Finite element analysis of deformation characteristics in cold helical rolling of bearing steel-balls
期刊论文
Journal of Central South University, 2015, 卷号: 22, 期号: 4, 页码: 1175-1183
作者:
Cao, Qiang
;
Hua, Lin
;
Qian, Dong-sheng
收藏
  |  
浏览/下载:7/0
  |  
提交时间:2019/12/04
cold helical rolling
finite element (FE) simulation
rotary forming
bearing steel-balls
Fault diagnosis of rolling element bearing based on S transform and gray level co-occurrence matrix
期刊论文
2015, 卷号: 26
作者:
Zhao, Minghang[1]
;
Tang, Baoping[1]
;
Tan, Qian[1]
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2019/11/28
Acoustics-based bearing fault detection using the improved kurtogram
会议论文
作者:
Xu, Xiaoqiang
;
Zhao, Ming
;
Lin, Jing
;
Lei, Yaguo
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2019/12/02
Amplitude demodulation
Bearing fault detection
Effective tool
Faults diagnosis
Machine breakdown
Periodic impulse
Rolling Element Bearing
Rolling elements
Sparsity-enabled denoising method based on tunable Q-factor wavelet transform for bearing fault diagnosis
会议论文
作者:
Ding, Baoqing
;
Tong, Chaowei
;
Xin, Wei
;
Wang, Shibin
;
Chen, Xuefeng
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2019/12/02
Background noise
Bearing fault diagnosis
Denoising methods
Fault feature extractions
High reliability
Oscillatory behaviors
Rolling Element Bearing
Simulated signals
Periodicity-based kurtogram for random impulse resistance
期刊论文
MEASUREMENT SCIENCE AND TECHNOLOGY, 2015, 卷号: 26, 期号: [db:dc_citation_issue]
作者:
Xu, Xiaoqiang
;
Zhao, Ming
;
Lin, Jing
;
Lei, Yaguo
收藏
  |  
浏览/下载:12/0
  |  
提交时间:2019/12/02
narrowband demodulation
kurtogram
rolling element bearing
periodic component to aperiodic component ratio (PAR)
spectral kurtosis
Feature Extraction and Recognition for Rolling Element Bearing Fault Utilizing Short-Time Fourier Transform and Non-negative Matrix Factorization
期刊论文
CHINESE JOURNAL OF MECHANICAL ENGINEERING, 2015, 卷号: 28, 期号: [db:dc_citation_issue], 页码: 96-105
作者:
Gao Huizhong
;
Liang Lin
;
Chen Xiaoguang
;
Xu Guanghua
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2019/12/02
rolling element bearing
feature extraction
non-negative matrix factorization
time-frequency distribution
Rotating speed isolation and its application to rolling element bearing fault diagnosis under large speed variation conditions
期刊论文
JOURNAL OF SOUND AND VIBRATION, 2015, 卷号: 348, 期号: [db:dc_citation_issue], 页码: 381-396
作者:
Wang, Yi
;
Xu, Guanghua
;
Zhang, Qing
;
Liu, Dan
;
Jiang, Kuosheng
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2019/12/02
Detection of weak transient signals based on wavelet packet transform and manifold learning for rolling element bearing fault diagnosis
期刊论文
MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2015, 卷号: 54-55, 期号: [db:dc_citation_issue], 页码: 259-276
作者:
Wang, Yi
;
Xu, Guanghua
;
Liang, Lin
;
Jiang, Kuosheng
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2019/12/02
Fault diagnosis
Rolling element bearing
Manifold learning
Permutation entropy
Wavelet packet transform
Early Fault Diagnosis of Bearings Using an Improved Spectral Kurtosis by Maximum Correlated Kurtosis Deconvolution
期刊论文
SENSORS, 2015, 卷号: 15, 期号: [db:dc_citation_issue], 页码: 29363-29377
作者:
Jia, Feng
;
Lei, Yaguo
;
Shan, Hongkai
;
Lin, Jing
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2019/12/02
maximum correlated kurtosis deconvolution
rolling element bearing
spectral kurtosis
early fault diagnosis
Dynamic analysis of a slider-crank mechanism with two types of non-ideal revolute joints
期刊论文
Proceedings of the Institution of Mechanical Engineers, Part K: Journal of Multi-body Dynamics, 2015, 卷号: Vol.229 No.3, 页码: 318-327
作者:
Xu, L.X.a
;
He, X.a
;
Han, L.a
;
Yang, Y.H.b
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2019/11/21
Slider
crank mechanism revolute joint rolling element bearing journal bearing joint clearance
©版权所有 ©2017 CSpace - Powered by
CSpace