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兰州理工大学 [9]
清华大学 [4]
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沈阳自动化研究所 [3]
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期刊论文 [23]
会议论文 [6]
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Multi-branch convolutional neural network with generalized shaft orbit for fault diagnosis of active magnetic bearing-rotor system
期刊论文
MEASUREMENT, 2021, 卷号: 171, 页码: 11
作者:
Yan Xunshi
;
张陈安4)
;
Liu Y(刘洋)
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  |  
浏览/下载:22/0
  |  
提交时间:2021/03/30
Fault diagnosis
Convolutional neural network
Active magnetic bearing
Multi-sensor fusion
Shaft orbit
A Novel Rolling Bearing Vibration Impulsive Signals Detection Approach Based on Dictionary Learning
期刊论文
IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 6, 页码: 1188-1198
作者:
Chuan Sun
;
Hongpeng Yin
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  |  
浏览/下载:48/0
  |  
提交时间:2021/06/11
Dictionary learning
impulsive signals detection
K-clustering with singular value decomposition (K-SVD)
minimum entropy deconvolution
rolling bearing
signal processing
A Signal Based “W” Structural Elements for Multi-scale Mathematical Morphology Analysis and Application to Fault Diagnosis of Rolling Bearings of Wind Turbines
期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 6, 页码: 993-1006
作者:
Qiang Li
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  |  
浏览/下载:22/0
  |  
提交时间:2021/11/26
Fault diagnosis
structural element
multi-scale mathematical morphology
rolling bearing
correlation analysis
Fault Diagnosis of Rotating Machinery Based on Multi-Sensor Signals and Median Filter Second-Order Blind Identification (MF-SOBI)
期刊论文
APPLIED SCIENCES-BASEL, 2020, 卷号: 10, 期号: 11
作者:
Miao, Feng
;
Zhao, Rongzhen
;
Jia, Leilei
;
Wang, Xianli
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  |  
浏览/下载:6/0
  |  
提交时间:2022/03/01
fault diagnosis
vibration signal
rotating machinery
rotor
Method Integrate EWT Multi-scale Permutation Entropy with GG Clustering for Bearing Fault Diagnosis
期刊论文
Zhendong Ceshi Yu Zhenduan/Journal of Vibration, Measurement and Diagnosis, 2019, 卷号: 39, 期号: 2, 页码: 416-423
作者:
Zhao, Rongzhen
;
Li, Jipu
;
Deng, Linfeng
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  |  
浏览/下载:12/0
  |  
提交时间:2020/11/14
Correlation methods
Entropy
Failure analysis
Fault detection
Principal component analysis
Roller bearings
Wavelet transforms
Bearing fault diagnosis
Correlation analysis
Fault diagnosis method
GG clustering
Intrinsic mode components
Mode combination method
Non stationary characteristics
Permutation entropy
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
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  |  
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
A novel bearing fault diagnosis method based on principal component analysis and BP neural network
会议论文
Changsha, China, November 1-3, 2019
作者:
Sun Y(孙越)
;
Xu AD(徐皑冬)
;
Wang K(王锴)
;
Han XJ(韩晓佳)
;
Guo HF(郭海丰)
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  |  
浏览/下载:24/0
  |  
提交时间:2020/06/21
Fault diagnosis
rolling bearing
principal component analysis
wavelet packet energy
high dimensional features
A sequential feature extraction method based on discrete wavelet transform, phase space reconstruction, and singular value decomposition and an improved extreme learning machine for rolling bearing fault diagnosis
期刊论文
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART E-JOURNAL OF PROCESS MECHANICAL ENGINEERING, 2018, 卷号: 232, 期号: 6, 页码: 635-649
作者:
Li, D. Z.
;
Zheng, X.
;
Xie, Q. W.
;
Jin, Q. B.
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  |  
浏览/下载:189/0
  |  
提交时间:2019/07/12
Fault identification classification
rolling bearing
discrete wavelet transform
phase space reconstruction
singular value decomposition
improved extreme learning machine
A novel wind turbine fault diagnosis method based on intergral extension load mean decomposition multiscale entropy and least squares support vector machine.
期刊论文
Renewable Energy, 2018
作者:
Liu, W. Y.
;
Gao, Q. W.
;
Tang, B. P.
;
Li, G. J.
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  |  
浏览/下载:20/0
  |  
提交时间:2019/01/31
Structural modal parameter identification and damage diagnosis based on Hilbert-Huang transform
期刊论文
EARTHQUAKE ENGINEERING AND ENGINEERING VIBRATION, 2014, 卷号: 13, 期号: 1, 页码: 101-111
作者:
Han Jianping
;
Zheng Peijuan
;
Wang Hongtao
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  |  
浏览/下载:5/0
  |  
提交时间:2019/11/15
modal parameter identification
damage diagnosis
Hilbert-Huang transform
natural excitation technique
stochastic subspace identification
random decrement method
shaking table test
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