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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
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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
Analogue study on the classification and identification of landslide dynamics based on spectral features of slidequake signals
期刊论文
SOIL DYNAMICS AND EARTHQUAKE ENGINEERING, 2023, 卷号: 173, 页码: 11
作者:
Yang, Zongji
;
Li, Dehua
;
Liu, Gang
;
Pang, Bo
;
Dong, Wufan
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2023/11/16
Landslides
Analogue tests
Slidequake
Spectral characteristics
Classification and identification
Intelligent fault diagnosis of train bearing based on ISTOA-VMD and SE-WDCNN
期刊论文
JOURNAL OF VIBRATION AND CONTROL, 2023, 页码: 12
作者:
He, Deqiang
;
Zou, Xueyan
;
Jin, Zhenzhen
;
Yan, Jingren
;
Ren, Chonghui
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浏览/下载:0/0
  |  
提交时间:2023/12/07
intelligent fault diagnosis
train bearing
improved sooty tern optimization algorithm
variational mode decomposition
deep convolutional neural network
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:18/0
  |  
提交时间:2022/11/21
Coaxial connector
Contact surface failure
Vibration induced fretting
High frequency characteristic
A remaining useful life prediction method based on time–frequency images of the mechanical vibration signals
期刊论文
Measurement: Journal of the International Measurement Confederation, 2022, 卷号: 202
作者:
Du, Xianjun
;
Jia, Wenchao
;
Yu, Ping
;
Shi, Yaoke
;
Cheng, Shengyi
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浏览/下载:32/0
  |  
提交时间:2022/09/22
Convolution
Forecasting
Preventive maintenance
Rotating machinery
Vibrations (mechanical)
Wavelet transforms
Attention mechanisms
Continuous Wavelet Transform
Convolutional neural network
Degradation trend
Feature map
Remaining useful life predictions
Rolling bearings
Spectral feature
Time frequency
Time–frequency spectral feature map
How to discern external acoustic waves in a piezoelectric neuron under noise?
期刊论文
JOURNAL OF BIOLOGICAL PHYSICS, 2022, 卷号: 48, 期号: 3, 页码: 339-353
作者:
Xie, Ying
;
Ma, Jun
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浏览/下载:15/0
  |  
提交时间:2022/09/22
Piezoelectric neuron
Noise
Hamilton energy
Firing patterns
Stochastic resonance
Real-time identification of performance degradation stages of rolling element bearings by RVCFI
期刊论文
Measurement Science and Technology, 2022, 卷号: 33, 期号: 8
作者:
Meng, Jiadong
;
Yan, Changfeng
;
Wen, Tao
;
Wang, Zonggang
;
Chen, Guangyi
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  |  
浏览/下载:13/0
  |  
提交时间:2022/06/20
Condition based maintenance
Condition monitoring
Degradation
Singular value decomposition
Degradation stages
Envelope spectra
Fault time
Initial faults
Monitoring indicators
Performance degradation
Performance degradation stage
Rate of variation coefficient of fused indicator
Rolling Element Bearing
Variation coefficient
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:14/0
  |  
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:15/0
  |  
提交时间:2022/07/19
Compound fault
Fast ICA
Improved harmonic wavelet packet decomposition
Rolling bearing fault diagnosis
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