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西安交通大学 [33]
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湖南大学 [18]
沈阳自动化研究所 [18]
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期刊论文 [226]
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Label Recovery and Trajectory Designable Network for Transfer Fault Diagnosis of Machines With Incorrect Annotation
期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 4, 页码: 932-945
作者:
Bin Yang
;
Yaguo Lei
;
Xiang Li
;
Naipeng Li
;
Asoke K. Nandi
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浏览/下载:0/0
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提交时间:2024/03/18
Deep transfer learning
domain adaptation
incorrect label annotation
intelligent fault diagnosis
rotating machines
Intelligent monitoring and diagnosis of telescope image quality
期刊论文
Monthly Notices of the Royal Astronomical Society, 2023, 卷号: 525, 期号: 3, 页码: 3541–3550
作者:
Hu TZ(胡天柱)
;
Zhang Y(张勇)
;
Cui XQ(崔向群)
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提交时间:2024/03/19
methods: data analysis
methods: numerical
techniques: image processing
software: data analysis
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
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  |  
浏览/下载:3/0
  |  
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
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提交时间:2023/12/07
intelligent fault diagnosis
train bearing
improved sooty tern optimization algorithm
variational mode decomposition
deep convolutional neural network
Local Linear Generalized Autoencoder-Based Incipient Fault Detection for Electrical Drive Systems of High-Speed Trains
期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2023, 页码: 9
作者:
Cheng, Chao
;
Ju, Yunfei
;
Xu, Shuiqing
;
Lv, Yisheng
;
Chen, Hongtian
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  |  
浏览/下载:1/0
  |  
提交时间:2023/11/17
Incipient fault
fault detection (FD)
manifold learning
generalized autocoder (GAE)
electrical drive systems
high-speed trains
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
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浏览/下载:16/0
  |  
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
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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
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  |  
浏览/下载:36/0
  |  
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
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  |  
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
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