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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:6/0
  |  
提交时间:2023/11/16
Landslides
Analogue tests
Slidequake
Spectral characteristics
Classification and identification
Uncertainty Quantification in Remaining Useful Life Prediction under Covariate Shift
期刊论文
Neural Computing and Applications, 2023, 页码: 28
作者:
Wang Huanjie
;
Bai Xiwei
;
Tan Jie
;
Liu Chengbao
收藏
  |  
浏览/下载:6/0
  |  
提交时间:2023/06/19
Remaining useful life
Uncertainty quantification
Bayesian 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
收藏
  |  
浏览/下载:33/0
  |  
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
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
收藏
  |  
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
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
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
收藏
  |  
浏览/下载:16/0
  |  
提交时间:2022/07/25
Interpretable deep learning approach for tool wear monitoring in high-speed milling
期刊论文
COMPUTERS IN INDUSTRY, 2022, 卷号: 138
作者:
Guo, Hao
;
Zhang, Yu
;
Zhu, Kunpeng
收藏
  |  
浏览/下载:20/0
  |  
提交时间:2022/05/16
Tool wear monitoring
Interpretability
Deep learning
Attention
Modeling and validation of multifield coupled self-sensing characteristics of magnetorheological elastomer for vibration isolators
期刊论文
MATERIALS & DESIGN, 2022, 卷号: 217
作者:
Li, Rui
;
Gou, Xin
;
Zhou, Mengjiao
;
Yang, Ping-an
;
Li, Penghua
收藏
  |  
浏览/下载:10/0
  |  
提交时间:2022/12/23
Magnetorheological elastomer
Magnetic-mechanic-electric coupling model
Self-sensing isolator
Experimental verification
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