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Multisensor Fusion on Hypergraph for Fault Diagnosis
期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2024, 页码: 11
作者:
Yan, Xunshi
;
Shi, Zhengang
;
Sun, Zhe
;
Zhang CA(张陈安)
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浏览/下载:0/0
  |  
提交时间:2024/05/27
graph neural network (GNN)
hypergraph neural network (HGNN)
information fusion
multisensor fusion
Fault diagnosis
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)
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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
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
Mechanostructures: Rational mechanical design, fabrication, performance evaluation, and industrial application of advanced structures
期刊论文
PROGRESS IN MATERIALS SCIENCE, 2023, 卷号: 131, 页码: 66
作者:
Wu, Wenwang
;
Xia, Re
;
Qian, Guian
;
Liu, Zengqian
;
Razavi, Javad
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  |  
浏览/下载:94/0
  |  
提交时间:2022/11/08
Mechanostructures
Mechanical design
Multifunctional
Lattice metastructures
Mechanical properties
Remaining Useful Life Prediction With Partial Sensor Malfunctions Using Deep Adversarial Networks
期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 1, 页码: 121-134
作者:
Xiang Li
;
Yixiao Xu
;
Naipeng Li
;
Bin Yang
;
Yaguo Lei
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  |  
浏览/下载:26/0
  |  
提交时间:2023/01/03
Adversarial training
data fusion
deep learning
remaining useful life (RUL) prediction
sensor malfunction
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
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
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提交时间:2022/07/25
Method to enhance deep learning fault diagnosis by generating adversarial samples
期刊论文
Applied Soft Computing, 2022, 卷号: 116
作者:
Cao, Jie
;
Ma, Jialin
;
Huang, Dailin
;
Yu, Ping
;
Wang, Jinhua
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  |  
浏览/下载:12/0
  |  
提交时间:2022/04/21
Accident prevention
Complex networks
Convolutional neural networks
Fault detection
Generative adversarial networks
Machinery
Recurrent neural networks
Signal to noise ratio
Adversarial-signal generative adversarial network
Convolutional neural network
Fault diagnosis method
Faults diagnosis
Industrial fields
Learning models
Mechanical equipment
Multilayers perceptrons
Original sample
Three models
Unveiling land footprint of solar power: A pilot solar tower project in China
期刊论文
JOURNAL OF ENVIRONMENTAL MANAGEMENT, 2021, 卷号: 280, 页码: 10
作者:
Wu, Xudong
;
Shao, Ling
;
Chen, Guoqian
;
Han, Mengyao
;
Chi, Yuanying
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  |  
浏览/下载:65/0
  |  
提交时间:2021/04/25
Land footprint
Solar-based electricity
Plant infrastructure
Systems perspective
Local view
A Regularized LSTM Method for Predicting Remaining Useful Life of Rolling Bearings
期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 4, 页码: 581-593
作者:
Zhao-Hua Liu
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  |  
浏览/下载:13/0
  |  
提交时间:2021/07/20
Deep learning
fault diagnosis
fault prognosis
long and short time memory network (LSTM)
rolling bearing
rotating machinery
regularization
remaining useful life prediction (RUL)
recurrent neural network (RNN)
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