×
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 [16]
内容类型
会议论文 [8]
期刊论文 [7]
其他 [1]
发表日期
2017 [16]
×
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16条,第1-10条
帮助
限定条件
发表日期:2017
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
发表日期升序
发表日期降序
提交时间升序
提交时间降序
题名升序
题名降序
作者升序
作者降序
Machine remaining useful life prediction considering unit-to-unit variability
会议论文
作者:
Li, Naipeng
;
Lei, Yaguo
;
Li, Ningbo
;
Lin, Jing
收藏
  |  
浏览/下载:10/0
  |  
提交时间:2019/11/26
Dependent stochastic process
Machine remaining useful lives
Particle Filtering
Predictive maintenance
Remaining useful life predictions
Stochastic process model
unit-to-unit variability
Useful life
A Dirty Data Recognition Method for Machinery Condition Monitoring in Big Data Era
会议论文
作者:
Lei, Yaguo
;
Zhou, Xin
;
Xu, Xuefang
;
Jia, Feng
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2019/11/26
volatility
dirty data recognition
heteroskedasticity
big data
condition monitoring
A new model for calculating time-varying gearmesh stiffness
会议论文
作者:
Lei, Yaguo
;
Wang, Delong
;
Liu, Zongyao
;
Yang, Xiao
收藏
  |  
浏览/下载:7/0
  |  
提交时间:2019/11/26
Calculating time
Exponential curve model
Gear mesh stiffness
Gear vibration
Saint Venant's principle
Time varying
Tooth crack
Deep convolution feature learning for health indicator construction of bearings
会议论文
作者:
Guo, Liang
;
Lei, Yaguo
;
Li, Naipeng
;
Xing, Saibo
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2019/11/26
health indicator construction
feature learning
convolution neural netwrok
bearing
Fault diagnosis of rotating machinery based on empirical mode decomposition
其他
2017-01-01
作者:
Lei, Yaguo
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2019/11/26
An adaptive unsaturated bistable stochastic resonance method and its application in mechanical fault diagnosis
期刊论文
MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2017, 卷号: 84, 页码: 731-746
作者:
Qiao, Zijian
;
Lei, Yaguo
;
Lin, Jing
;
Jia, Feng
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2019/11/26
Mechanical fault diagnosis
Output saturation
Signal processing
Stochastic resonance
Application of an improved maximum correlated kurtosis deconvolution method for fault diagnosis of rolling element bearings
期刊论文
MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2017, 卷号: 92, 页码: 173-195
作者:
Miao, Yonghao
;
Zhao, Ming
;
Lin, Jing
;
Lei, Yaguo
收藏
  |  
浏览/下载:13/0
  |  
提交时间:2019/11/26
deconvolution (MCKD)
Improved MCKD
Compound-fault
Maximum correlated kurtosis
Fault diagnosis
Autocorrelation
Rolling element bearing
An underdamped stochastic resonance method with stable-state matching for incipient fault diagnosis of rolling element bearings
期刊论文
MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2017, 卷号: 94, 页码: 148-164
作者:
Lei, Yaguo
;
Qiao, Zijian
;
Xu, Xuefang
;
Lin, Jing
;
Niu, Shantao
收藏
  |  
浏览/下载:6/0
  |  
提交时间:2019/11/26
Underdamped stochastic resonance
Stable-state matching
Quantum genetic algorithms
Weak characteristic extraction
Incipient fault diagnosis
Weighted signal-to-noise ratio
Intelligent Fault Diagnosis of Rotating Machinery Using Locally Connected Restricted Boltzmann Machine in Big Data Era
会议论文
作者:
Xing, Saibo
;
Lei, Yaguo
;
Jia, Feng
;
Lin, Jing
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2019/11/26
Unsupervised feature learning
rotating machinery
locally connected restricted Boltzmann machine
intelligent fault diagnosis
Incipient Fault Detection for Rolling Element Bearings under Varying Speed Conditions
期刊论文
MATERIALS, 2017, 卷号: 10
作者:
Xue, Lang
;
Li, Naipeng
;
Lei, Yaguo
;
Li, Ningbo
收藏
  |  
浏览/下载:10/0
  |  
提交时间:2019/11/26
rolling element bearings
incipient fault detection
varying speed
adaptive threshold
alarm trigger mechanism
©版权所有 ©2017 CSpace - Powered by
CSpace