×
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 [19]
西安交通大学 [12]
清华大学 [7]
北京航空航天大学 [5]
山东大学 [5]
华南理工大学 [5]
更多...
内容类型
期刊论文 [44]
会议论文 [23]
学位论文 [1]
发表日期
2022 [1]
2021 [4]
2020 [2]
2019 [3]
2018 [6]
2017 [4]
更多...
学科主题
mathematic... [1]
×
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68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
An intelligent diagnosis method of rolling bearing based on multi-scale residual shrinkage convolutional neural network
期刊论文
Measurement Science and Technology, 2022, 卷号: 33, 期号: 8
作者:
Zhao, Xiaoqiang
;
Zhang, Yazhou
收藏
  |  
浏览/下载:15/0
  |  
提交时间:2022/06/20
Convolutional neural networks
Deep learning
Failure (mechanical)
Failure analysis
Fault detection
Roller bearings
Shrinkage
Bearing fault diagnosis
Convolutional neural network
Intelligent diagnosis methods
Multi-scale residual shrinkage convolutional neural network
Multi-scales
Noise environments
Rolling bearings
Separable convolution
Variable operating condition
Vibration signal
Rotor fault diagnosis based on semi-supervised neighborhood adaptive orthogonal discriminant projection
期刊论文
Zhendong yu Chongji/Journal of Vibration and Shock, 2021, 卷号: 40, 期号: 10, 页码: 159-165
作者:
Chang, Shuyuan
;
Zhao, Rongzhen
;
Shi, Mingkuan
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2022/02/17
Failure analysis
Frequency domain analysis
Pattern recognition
Support vector machines
Time domain analysis
Fault identifications
Frequency domains
Generalization ability
Low dimensional
Neighborhood parameter
Rotor fault diagnosis
Time frequency domain
Vibration signal
Intelligent fault diagnosis of rolling bearings using a semi-supervised convolutional neural network
期刊论文
Applied Intelligence, 2021, 卷号: 51, 期号: 4, 页码: 2144-2160
作者:
Wu, Yaochun
;
Zhao, Rongzhen
;
Jin, Wuyin
;
He, Tianjing
;
Ma, Sencai
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2021/06/03
Convolution
Deep learning
Failure analysis
Fault detection
Learning systems
Roller bearings
Semi-supervised learning
Vibration analysis
Class probabilities
Diagnosis performance
Intelligent fault diagnosis
Inter-class distance
Learning methods
Maximum margin criterions
Rolling bearings
Vibration signal
A Method of Mechanical Fault Diagnosis Based on Locality Margin Discriminant Projection
期刊论文
Zhendong Ceshi Yu Zhenduan/Journal of Vibration, Measurement and Diagnosis, 2021, 卷号: 41, 期号: 1, 页码: 126-132
作者:
Shi, Mingkuan
;
Zhao, Rongzhen
收藏
  |  
浏览/下载:6/0
  |  
提交时间:2021/04/12
Frequency domain analysis
Nearest neighbor search
Frequency domains
K-nearest neighbor classifiers (KNN)
Low dimensional
Mechanical fault diagnosis
Rotor vibrations
Sensitive features
Statistical characteristics
Vibration signal
A New Method of Fault Feature Extraction Based on Hierarchical Dispersion Entropy
期刊论文
Shock and Vibration, 2021, 卷号: 2021
作者:
Chen, Peng
;
Zhao, Xiaoqiang
;
Jiang, Hongmei
收藏
  |  
浏览/下载:27/0
  |  
提交时间:2021/04/12
Dispersions
Entropy
Extraction
Failure analysis
Feature extraction
Gaussian noise (electronic)
Nearest neighbor search
Roller bearings
Signal processing
White noise
Fault diagnosis method
Fault feature extractions
Feature information
Gaussian white noise
K-nearest neighbor classifiers (KNN)
Low frequency band
Rolling bearings
Vibration signal
A New Method of Denoising of Vibration Signal and Its Application
期刊论文
Shock and Vibration, 2020, 卷号: 2020
作者:
Miao, Feng
;
Zhao, Rongzhen
;
Wang, Xianli
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2020/11/14
Impulse noise
Machinery
Median filters
Vibration analysis
Wavelet analysis
White noise
Adaptive wavelet packets
Denoising methods
ITS applications
Mixed complexes
Noise components
Sampling frequencies
Simulation signals
Vibration signal
A New Fault Diagnosis Method for Rotating Machinery Based on SCA-FastICA
期刊论文
Mathematical Problems in Engineering, 2020, 卷号: 2020
作者:
Miao, Feng
;
Zhao, Rongzhen
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2020/11/14
Blind source separation
Failure analysis
Independent component analysis
Rotating machinery
Signal denoising
Vibration analysis
Conventional methods
De-noised signals
Fast independent component analysis
Fault diagnosis method
Machine health monitoring
Noise and vibration
Simulation tests
Vibration sources
Main frequency band of blast vibration signal based on wavelet packet transform
期刊论文
APPLIED MATHEMATICAL MODELLING, 2019, 卷号: 74
作者:
Chen, Guan
;
Li, Qi-Yue
;
Li, Dian-Qing
;
Wu, Zheng-Yu
;
Liu, Yong
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2019/12/05
Blast vibration
Main frequency band
Wavelet packet analysis
Time-frequency conversion
Signal denoising
Vibration Signal Processing Method of GIS Equipment Based on Wavelet Analysis and Spectrum Analysis
期刊论文
PROCEEDINGS OF 2019 IEEE 3RD INFORMATION TECHNOLOGY, NETWORKING, ELECTRONIC AND AUTOMATION CONTROL CONFERENCE (ITNEC 2019), 2019, 页码: 1215-1219
作者:
Wang, Xiaoyi
;
Wang, Peijin
;
Li, Qingquan
;
Wang, Hongwei
;
Xia, Miao
收藏
  |  
浏览/下载:9/0
  |  
提交时间:2019/12/11
110kV GIS equipment
vibration signal
signal processing
wavelet
analysis
spectrum analysis
Experiment for identifying free span of buried gas pipeline under internal excitation load
期刊论文
INTERNATIONAL JOURNAL OF PRESSURE VESSELS AND PIPING, 2019, 卷号: 169, 页码: 215-222
-
收藏
  |  
浏览/下载:6/0
  |  
提交时间:2020/01/03
Gas pipeline
Free span detection
Vibration signal analysis
Internal excitation load
©版权所有 ©2017 CSpace - Powered by
CSpace