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A Current-Based Fault Diagnosis Method for Rotating Machinery With Limited Training Samples
期刊论文
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2023, 卷号: 72, 期号: *, 页码: 1-14
作者:
Hou X(侯旭)
;
Du FJ(杜福嘉)
;
Huang K(黄康)
收藏
  |  
浏览/下载:0/0
  |  
提交时间:2024/03/18
Comb filter kernel(CF-kernel)
motor current signal analysis
convolutional neural network(CNN)
fault diagnosis
limited training sample
Force measurement using strain-gauge balance in shock tunnel based on deep learning
期刊论文
CHINESE JOURNAL OF AERONAUTICS, 2023, 卷号: 36, 期号: 8, 页码: 43-53
作者:
Nie SJ(聂少军)
;
Wang YP(汪运鹏)
;
Jiang ZL(姜宗林)
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  |  
浏览/下载:1/0
  |  
提交时间:2024/02/26
Convolutional neural net-works
Deep learning
Frequency domain analysis
Force measurement
Time domain analysis
Recurrent neural networks
Investigation on vibration induced fretting in degraded contact interface
期刊论文
MICROELECTRONICS RELIABILITY, 2022, 卷号: 139, 页码: 10
作者:
Li, Qingya
;
Gao, Jinchun
;
Flowers, George T.
;
Yi, Wei
;
Jackson, Robert L.
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  |  
浏览/下载:22/0
  |  
提交时间:2022/11/21
Coaxial connector
Contact surface failure
Vibration induced fretting
High frequency characteristic
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
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  |  
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
Separation method of rolling bearing compound fault characteristics based on Improved harmonic wavelet packet decomposition and fast ICA
期刊论文
JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY, 2022, 卷号: 36, 期号: 7, 页码: 3263-3276
作者:
Huang, Hua
;
Xue, Wenhu
;
Pang, Qianzhi
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浏览/下载:18/0
  |  
提交时间:2022/07/19
Compound fault
Fast ICA
Improved harmonic wavelet packet decomposition
Rolling bearing fault diagnosis
Health condition monitoring of bearings based on multifractal spectrum feature with modified empirical mode decomposition-multifractal detrended fluctuation analysis
期刊论文
STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL, 2022
作者:
Chen, Guangyi
;
Yan, Changfeng
;
Meng, Jiadong
;
Wang, Zonggang
;
Wu, Lixiao
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  |  
浏览/下载:26/0
  |  
提交时间:2022/03/01
Empirical mode decomposition-multifractal detrended fluctuation analysis
scaling exponent
health condition monitoring
step-moving window
multifractal spectrum feature
deterministic
random separation
Remaining Useful Life prediction of rolling bearings based on risk assessment and degradation state coefficient
期刊论文
ISA Transactions, 2022
作者:
Li, Qiang
;
Yan, Changfeng
;
Chen, Guangyi
;
Wang, Huibin
;
Li, Hongkun
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  |  
浏览/下载:21/0
  |  
提交时间:2022/07/20
Condition based maintenance
Economic and social effects
Forecasting
Frequency domain analysis
Genetic algorithms
Health
Health risks
Roller bearings
Singular value decomposition
Degradation state
Degradation state coefficient
Genetic algorithm-support vector regression
Health indicators
Mode decomposition
Modified health indicator
Remaining useful lives
Risks assessments
Support vector regressions
Variational mode decomposition-singular value decomposition
Error analysis and calibration of micro-vibration test platform developed for advanced pointing instrument
期刊论文
Mechanical Systems and Signal Processing, 2022, 卷号: 173, 页码: 14
作者:
X. X. Gong
;
L. Li
;
Y. Yu
;
L. Wang
;
L. Zhang
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  |  
浏览/下载:0/0
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提交时间:2023/06/14
Spatiotemporally resolved characteristics of arc plasma in non-thermal multi-arc generator at atmospheric pressure
期刊论文
AIP ADVANCES, 2021, 卷号: 11
作者:
Huang, Y. J.
;
Lin, Q. F.
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  |  
浏览/下载:21/0
  |  
提交时间:2022/01/25
Fault Identification of Rolling Bearing Using Variational Mode Decomposition Multiscale Permutation Entropy and Adaptive GG Clustering
期刊论文
SHOCK AND VIBRATION, 2021, 卷号: 2021
作者:
He, Tianjing
;
Zhao, Rongzhen
;
Wu, Yaochun
;
Yang, Chao
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  |  
浏览/下载:2/0
  |  
提交时间:2021/10/14
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