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兰州理工大学 [8]
自动化研究所 [5]
沈阳自动化研究所 [4]
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期刊论文 [22]
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2022 [22]
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发表日期:2022
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Metaverses-Based Parallel Oil Fields in CPSS: A Framework and Methodology
期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2022, 页码: 10
作者:
Wang, Xingxia
;
Cheng, Xiang
;
Lu, Jingwei
;
Kwan, Oliver
;
Li, Shixing
收藏
  |  
浏览/下载:14/0
  |  
提交时间:2023/02/22
Artificial systems
computational experiments
and parallel executions (ACP) approach
Cyber-physical-social systems (CPSS)
digital workers
fault diagnosis
metaverses-based parallel oil fields
parallel systems
Research on fault diagnosis method for hydraulic system of CFETR blanket transfer device based on CNN-LSTM
期刊论文
FUSION ENGINEERING AND DESIGN, 2022, 卷号: 185
作者:
Guo, Xinpeng
;
Lu, Kun
;
Cheng, Yong
;
Zhao, Wenlong
;
Wu, Huapeng
收藏
  |  
浏览/下载:17/0
  |  
提交时间:2022/12/23
CFETR
Hydraulic system
Fault simulation
Fault diagnosis
CNN-LSTM
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
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:15/0
  |  
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
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
Stochastic resonance in image denoising as an alternative to traditional methods and deep learning
期刊论文
NONLINEAR DYNAMICS, 2022
作者:
Shen, Mengen
;
Yang, Jianhua
;
Jiang, Wenbo
;
Sanjuan, Miguel A. F.
;
Zheng, Yuqiao
收藏
  |  
浏览/下载:15/0
  |  
提交时间:2022/07/19
Blind image denoising
Monostable system
Stochastic resonance
Deep learning
BM3D
Label-Free Detection and Translocation Dynamics Study of Single-Molecule Herceptin Using Solid-State Nanopores
期刊论文
ADVANCED MATERIALS TECHNOLOGIES, 2022
作者:
Hu, Rui
;
Lu, Wenlong
;
Wei, Guanghao
;
Nan, Hexin
;
Li, Juan
收藏
  |  
浏览/下载:9/0
  |  
提交时间:2022/12/23
solid-state nanopore
single-molecule detection
protein dynamics
monoclonal antibody
protein unfolding
Intelligent Fault Identification Method Based on Convolutional Neural Network for Imbalanced Data
期刊论文
Zhendong Ceshi Yu Zhenduan/Journal of Vibration, Measurement and Diagnosis, 2022, 卷号: 42, 期号: 2, 页码: 299-307
作者:
Wu, Yaochun
;
Zhao, Rongzhen
;
Jin, Wuyin
;
Xing, Ziyang
收藏
  |  
浏览/下载:14/0
  |  
提交时间:2022/06/20
Convolutional neural networks
Machinery
Class spaces
Convolutional neural network
Fault identifications
Identification method
Imbalanced data
Intelligent fault diagnosis
Min-max
Min-max objective func-tion
Net work
Objective functions
Research on condition monitoring and fault diagnosis of intelligent copper ball production lines based on big data
期刊论文
IET Collaborative Intelligent Manufacturing, 2022, 卷号: 4, 期号: 1, 页码: 45-57
作者:
Zhang, Zhongke
;
Li, Zhao
;
Zhao, Changzhong
收藏
  |  
浏览/下载:16/0
  |  
提交时间:2022/04/21
Big data
Display devices
Failure analysis
Fault detection
Light emission
Metadata
Program debugging
Trees (mathematics)
Virtual private networks
Cloud platforms
Condition monitoring and faults diagnosis
Electronics materials
Fault prediction
Faults diagnosis
Manufacturing industries
On condition monitoring
Production line
Window control center configuration
Windows control centers
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