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It takes two: Dual Branch Augmentation Module for domain generalization 期刊论文
NEURAL NETWORKS, 2024, 卷号: 172, 页码: 12
Authors:  Li, Jingwei;  Li, Yuan;  Tan, Jie;  Liu, Chengbao
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Domain generalization  Fourier transform  Uncertainty calibration  Test-time adaptation  
Temporal Double Graph Convolutional Network for CO and CO2 Prediction in Blast Furnace Gas 期刊论文
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2024, 卷号: 73, 页码: 13
Authors:  Zhang, Tingkun;  Liu, Chengbao;  Liu, Zhenjie;  Tan, Jie;  Ahmat, Mutellip
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Blast furnace gas (BFG)  CO and CO2 content  graph convolutional network (GCN)  hypergraph convolutional network  prediction  
Bridging the gap with grad: Integrating active learning into semi-supervised domain generalization 期刊论文
NEURAL NETWORKS, 2024, 卷号: 171, 页码: 186-199
Authors:  Li, Jingwei;  Li, Yuan;  Tan, Jie;  Liu, Chengbao
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Domain generalization  Semi-supervised learning  Active learning  
Knowledge enhanced ensemble method for remaining useful life prediction under variable working conditions 期刊论文
RELIABILITY ENGINEERING & SYSTEM SAFETY, 2024, 卷号: 242, 页码: 13
Authors:  Li, Yuan;  Li, Jingwei;  Wang, Huanjie;  Liu, Chengbao;  Tan, Jie
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Remaining useful life  Ensemble learning  Attention mechanism  Convolutional neural network  Transfer learning  
Exploring Explicitly Disentangled Features for Domain Generalization 期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2023, 卷号: 33, 期号: 11, 页码: 6360-6373
Authors:  Li, Jingwei;  Li, Yuan;  Wang, Huanjie;  Liu, Chengbao;  Tan, Jie
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Domain generalization  feature disentanglement  Fourier transform  data augmentation  
Label propagation-based unsupervised domain adaptation for intelligent fault diagnosis 期刊论文
JOURNAL OF INTELLIGENT MANUFACTURING, 2023, 页码: 18
Authors:  Wang, Huanjie;  Li, Yuan;  Bai, Xiwei;  Li, Jingwei;  Tan, Jie;  Liu, Chengbao
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Intelligent diagnosis  Rotating machinery  Label propagation  Subpopulation shift  Unsupervised domain adaptation  
Uncertainty Quantification in Remaining Useful Life Prediction under Covariate Shift 期刊论文
Neural Computing and Applications, 2023, 页码: 28
Authors:  Wang Huanjie;  Bai Xiwei;  Tan Jie;  Liu Chengbao
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Remaining useful life  Uncertainty quantification  Bayesian convolutional neural network  
Uncertainty quantification of bearing remaining useful life based on convolutional neural network 会议论文
, Canberra, Australia, 2020-12
Authors:  Wang Huanjie;  Bai Xiwei;  Tan, Jie
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A 2-D Long Short-Term Memory Fusion Networks for Bearing Remaining Useful Life Prediction 期刊论文
IEEE SENSORS JOURNAL, 2022, 卷号: 22, 期号: 22, 页码: 21806-21815
Authors:  Li, Yuan;  Wang, Huanjie;  Li, Jingwei;  Tan, Jie
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Hidden Markov models  Feature extraction  Predictive models  Sensors  Mathematical models  Data models  Adaptation models  2-D long short-term memory (2D-LSTM)  fault occurrence time (FOT) detection  information fusion unit (IFU)  remaining useful life (RUL) prediction  
目标体的数量统计方法、装置及系统 专利
专利类型: 发明专利, 专利号: ZL201810947392.0, 申请日期: 2020-08-25,
Inventors:  谭杰;  吴科;  王敏丽;  刘振杰
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