×
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
湖南大学 [21]
山东大学 [10]
北京航空航天大学 [9]
西安交通大学 [8]
武汉大学 [6]
大连理工大学 [2]
更多...
内容类型
期刊论文 [54]
会议论文 [3]
发表日期
2019 [57]
×
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57条,第1-10条
帮助
限定条件
发表日期:2019
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
Time-reassigned synchrosqueezing transform: The algorithm and its applications in mechanical signal processing
期刊论文
MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2019, 卷号: 117, 页码: 255-279
作者:
He, Dong
;
Cao, Hongrui
;
Wang, Shibin
;
Chen, Xuefeng
收藏
  |  
浏览/下载:20/0
  |  
提交时间:2019/11/19
Transient feature extraction
Time-reassigned synchrosqueezing transform
Group delay
Reassignment
Time-frequency analysis
Fault diagnosis
Identification of mechanical compound-fault based on the improved parameter-adaptive variational mode decomposition.
期刊论文
ISA transactions, 2019, 卷号: 84, 页码: 82-95
作者:
Miao Yonghao
;
Zhao Ming
;
Lin Jing
收藏
  |  
浏览/下载:16/0
  |  
提交时间:2019/11/19
Feature extraction
Improved parameter-adaptive VMD
Compound-fault diagnosis
Iteration
Parameter-adaptive VMD
Machine health monitoring based on locally linear embedding with kernel sparse representation for neighborhood optimization
期刊论文
MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2019, 卷号: 114, 页码: 25-34
作者:
Sun, Chuang
;
Wang, Peng
;
Yan, Ruqiang
;
Gao, Robert X.
;
Chen, Xuefeng
收藏
  |  
浏览/下载:15/0
  |  
提交时间:2019/11/19
Kernel sparse representation
Gearbox fault diagnosis
Manifold learning
Locally linear embedding
Adaptive neighborhood
Local maximum synchrosqueezing transform: An energy-concentrated time-frequency analysis tool
期刊论文
MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2019, 卷号: 117, 页码: 537-552
作者:
Yu, Gang
;
Wang, Zhonghua
;
Zhao, Ping
;
Li, Zhen
收藏
  |  
浏览/下载:7/0
  |  
提交时间:2019/11/19
Synchrosqueezing transform
Fault diagnosis
Mode decomposition
Optimal swarm decomposition with whale optimization algorithm for weak feature extraction from multicomponent modulation signal
期刊论文
Mechanical Systems and Signal Processing, 2019, 卷号: 122, 页码: 673-691
作者:
Miao, Yonghao
;
Zhao, Ming
;
Makis, Viliam
;
Lin, Jing
收藏
  |  
浏览/下载:19/0
  |  
提交时间:2019/11/19
Bearing fault diagnosis
Compound fault diagnosis
Individual components
Machinery condition monitoring
Meta-heuristic optimizations
Mode decomposition
Numerical validations
Optimization algorithms
Order spectrogram visualization for rolling bearing fault detection under speed variation conditions
期刊论文
Mechanical Systems and Signal Processing, 2019, 卷号: 122, 页码: 580-596
作者:
Wang, Yi
;
Tse, Peter W.
;
Tang, Baoping
;
Qin, Yi
;
Deng, Lei
收藏
  |  
浏览/下载:17/0
  |  
提交时间:2019/11/19
Bearing fault diagnosis
Machinery condition monitoring
Non-stationary vibration signals
Operating condition
Order tracking
Rolling bearing vibration
Spectrograms
Time-frequency distributions
Sparse representation based on parametric impulsive dictionary design for bearing fault diagnosis
期刊论文
MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2019, 卷号: 122, 页码: 737-753
作者:
Sun, Ruo-Bin
;
Yang, Zhi-Bo
;
Zhai, Zhi
;
Chen, Xue-Feng
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2019/11/19
Sparse representation
Parametric impulsive dictionary design
Bearing fault diagnosis
Correlation stopping criteria
An intelligent fault diagnosis approach based on transfer learning from laboratory bearings to locomotive bearings
期刊论文
Mechanical Systems and Signal Processing, 2019, 卷号: 122, 页码: 692-706
作者:
Yang, Bin
;
Lei, Yaguo
;
Jia, Feng
;
Xing, Saibo
收藏
  |  
浏览/下载:23/0
  |  
提交时间:2019/11/19
Convolutional neural network
Domain adaptation
Intelligent fault diagnosis
Rolling Element Bearing
Transfer learning
Rolling element bearing weak feature extraction based on improved optimal frequency band determination
期刊论文
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART C-JOURNAL OF MECHANICAL ENGINEERING SCIENCE, 2019, 卷号: 233, 页码: 623-634
作者:
Yang, Rui
;
Li, Hongkun
;
Wang, Chaoge
;
He, Changbo
收藏
  |  
浏览/下载:27/0
  |  
提交时间:2019/12/02
Parameter optimization
improved correlation Kurtosis
optimal frequency band extraction
rolling bearing fault diagnosis
weak feature extraction
Research on Fault Diagnosis of Aeronautic Gear Based on Permutation Entropy and SVM Method
期刊论文
JOURNAL OF THE CHINESE SOCIETY OF MECHANICAL ENGINEERS, 2019, 卷号: 40, 页码: 413-422
作者:
Liu, Jia-Yin
;
Yu, Xiao-Guang
;
Han, Qing-Kai
收藏
  |  
浏览/下载:16/0
  |  
提交时间:2019/12/02
gear
feature extraction
fault diagnosis
permutation entropy
SVM
©版权所有 ©2017 CSpace - Powered by
CSpace