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Label propagation-based unsupervised domain adaptation for intelligent fault diagnosis
期刊论文
JOURNAL OF INTELLIGENT MANUFACTURING, 2023, 页码: 18
作者:
Wang, Huanjie
;
Li, Yuan
;
Bai, Xiwei
;
Li, Jingwei
;
Tan, Jie
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2023/11/17
Intelligent diagnosis
Rotating machinery
Label propagation
Subpopulation shift
Unsupervised domain adaptation
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
Rolling bearing fault diagnosis by Markov transition field and multi-dimension convolutional neural network
期刊论文
Measurement Science and Technology, 2022, 卷号: 33, 期号: 11
作者:
Lei, Chunli
;
Xue, Linlin
;
Jiao, Mengxuan
;
Zhang, Huqiang
;
Shi, Jiashuo
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  |  
浏览/下载:44/0
  |  
提交时间:2022/09/22
Chemical activation
Convolution
Convolutional neural networks
Fault detection
Neural network models
Roller bearings
Activation functions
Condition
Convolutional neural network
E-rectified linear unit activation function
Faults diagnosis
Linear units
Markov transition field
Multi dimensions
Multi-dimension attention
Transition fields
Cross-Level fusion for rotating machinery fault diagnosis under compound variable working conditions
期刊论文
MEASUREMENT, 2022, 卷号: 199, 页码: 7
作者:
Wang, Sihan
;
Wang, Dazhi
;
Kong, Deshan
;
Li, Wenhui
;
Wang, Huanjie
收藏
  |  
浏览/下载:18/0
  |  
提交时间:2022/07/25
Intelligent fault diagnosis
Few-shot learning
Anti-noise
Compound faults
Working condition variation
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
Few-shot multiscene fault diagnosis of rolling bearing under compound variable working conditions
期刊论文
IET CONTROL THEORY AND APPLICATIONS, 2022, 页码: 12
作者:
Wang, Sihan
;
Wang, Dazhi
;
Kong, Deshan
;
Li, Wenhui
;
Wang, Jiaxing
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  |  
浏览/下载:18/0
  |  
提交时间:2022/07/25
An early composite fault feature extraction method of bearing based on square envelope spectrum negentropy criterion
期刊论文
Zhendong yu Chongji/Journal of Vibration and Shock, 2022, 卷号: 41, 期号: 8, 页码: 179-187
作者:
Chen, Peng
;
Zhao, Xiaoqiang
收藏
  |  
浏览/下载:8/0
  |  
提交时间:2022/06/20
Failure analysis
Fault detection
Spectrum analysis
Bearing
Composite fault
Early composite fault diagnose
Envelope spectra
Faults diagnosis
Grasshopper optimization algorithm
Negentropy
Optimization algorithms
Square envelope spectrum negentropy
Swarm decomposition
Generalization on Unseen Domains via Model-Agnostic Learning for Intelligent Fault Diagnosis
期刊论文
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2022, 卷号: 71, 页码: 11
作者:
Wang, Huanjie
;
Bai, Xiwei
;
Wang, Sihan
;
Tan, Jie
;
Liu, Chengbao
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  |  
浏览/下载:20/0
  |  
提交时间:2022/06/06
Fault diagnosis
Data models
Task analysis
Representation learning
Adaptation models
Training data
Training
Convolutional neural network (CNN)
data-driven fault diagnosis
domain generalization (DG)
model-agnostic learning
rolling bearing
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
收藏
  |  
浏览/下载:27/0
  |  
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
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