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科研机构
湖南大学 [65]
内容类型
期刊论文 [62]
会议论文 [3]
发表日期
2019 [12]
2018 [6]
2017 [5]
2016 [14]
2015 [4]
2014 [1]
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Grouping and Selecting Singular Spectrum Analysis Components for Denoising Via Empirical Mode Decomposition Approach
期刊论文
Circuits, Systems, and Signal Processing, 2019, 卷号: Vol.38 No.1, 页码: 356-370
作者:
Peiru Lin
;
Weichao Kuang
;
Yuwei Liu
;
Bingo Wing-Kuen Ling
收藏
  |  
浏览/下载:63/0
  |  
提交时间:2019/12/13
Singular
spectrum
analysis
Empirical
mode
decomposition
Grouping
Denoising
Matching
pursuit
algorithm
An architecture of deep learning network based on ensemble empirical mode decomposition in precise identification of bearing vibration signal.
期刊论文
Journal of Mechanical Science & Technology, 2019, 卷号: Vol.33 No.1, 页码: 41-50
作者:
Nguyen, V. Hung
;
Cheng, J. Sheng
;
Yu, Yang
;
Thai, V. Trong
收藏
  |  
浏览/下载:21/0
  |  
提交时间:2019/12/13
Architecture of deep learning network (DLN)
Autoencoder
Bearing multi-degree fault diagnosis
Ensemble empirical mode decomposition (EEMD)
Softmax classifier
Development of a novel knock characteristic detection method for gasoline engines based on wavelet-denoising and EMD decomposition
期刊论文
MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2019, 卷号: Vol.117, 页码: 517-536
作者:
Bi, Fengrong
;
Ma, Teng
;
Wang, Xu
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2019/12/13
Knock detection
Gasoline engine
Wavelet-denoising
Empirical mode decomposition
Exploring the drivers of energy consumption-related CO2 emissions in China: a multiscale analysis.
期刊论文
Energy Efficiency, 2019, 卷号: Vol.12 No.4, 页码: 1027-1039
作者:
Zhu, BZ
;
Ye, SX
;
Wang, P
;
He, KJ
;
Zhang, T
收藏
  |  
浏览/下载:12/0
  |  
提交时间:2019/12/17
China
CO2 emissions
Drivers
Multivariate empirical mode decomposition
Stepwise regression analysis
Grouping and Selecting Singular Spectrum Analysis Components for Denoising Via Empirical Mode Decomposition Approach.
期刊论文
Circuits, Systems & Signal Processing, 2019, 卷号: Vol.38 No.1, 页码: 356-370
作者:
Lin, Peiru
;
Kuang, Weichao
;
Liu, Yuwei
;
Ling, Bingo Wing-Kuen
收藏
  |  
浏览/下载:22/0
  |  
提交时间:2019/12/17
HILBERT-Huang
transform
*ALGORITHMS
*COMPUTER
simulation
*SIGNAL-to-noise
ratio
*SIGNAL
denoising
Adaptive chirp mode pursuit: Algorithm and applications
期刊论文
MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2019, 卷号: Vol.116, 页码: 566-584
作者:
Chen, Shiqian
;
Yang, Yang
;
Peng, Zhike
;
Dong, Xingjian
;
Zhang, Wenming
收藏
  |  
浏览/下载:13/0
  |  
提交时间:2019/12/17
Multi-component signal
Chirp
Empirical mode decomposition
Variational mode decomposition
Synchrosqueezing
Time-frequency analysis
Detection of rub-impact fault for rotor-stator systems: A novel method based on adaptive chirp mode decomposition
期刊论文
Journal of Sound and Vibration, 2019, 卷号: Vol.440, 页码: 83-99
作者:
Chen, Shiqian
;
Yang, Yang
;
Peng, Zhike
;
Wang, Shibin
;
Zhang, Wenming
收藏
  |  
浏览/下载:15/0
  |  
提交时间:2019/12/17
Empirical mode decomposition (EMD)
Fault diagnosis
Intra-wave modulation
Rotating machinery
Rub-impact
Time-frequency (TF)
Exploring the drivers of energy consumption-related CO emissions in China: a multiscale analysis
期刊论文
Energy Efficiency, 2019, 卷号: Vol.12 No.4, 页码: 1027-1039
作者:
Bangzhu Zhu
;
Shunxin Ye
;
Ping Wang
;
Kaijian He
;
Tao Zhang
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2019/12/17
CO2 emissions
Drivers
Multivariate empirical mode decomposition
Stepwise regression analysis
China
An architecture of deep learning network based on ensemble empirical mode decomposition in precise identification of bearing vibration signal
期刊论文
Journal of Mechanical Science and Technology, 2019, 卷号: Vol.33 No.1, 页码: 41-50
作者:
V. Hung Nguyen
;
J. Sheng Cheng
;
Yang Yu
;
V. Trong Thai
收藏
  |  
浏览/下载:6/0
  |  
提交时间:2019/12/13
Bearing
multi-degree
fault
diagnosis
Architecture
of
deep
learning
network
(DLN)
Ensemble
empirical
mode
decomposition
(EEMD)
Autoencoder
Softmax
classifier
An architecture of deep learning network based on ensemble empirical mode decomposition in precise identification of bearing vibration signal.
期刊论文
Journal of Mechanical Science & Technology, 2019, 卷号: Vol.33 No.1, 页码: 41-50
作者:
Nguyen, VH
;
Cheng, JS
;
Yu, Y
;
Thai, VT
收藏
  |  
浏览/下载:9/0
  |  
提交时间:2019/12/17
DEEP learning
*MACHINE learning
*HILBERT-Huang transform
*TIME-domain analysis
*BEARINGS (Machinery)
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