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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
作者:  Li, Jingwei;  Li, Yuan;  Wang, Huanjie;  Liu, Chengbao;  Tan, Jie
Adobe PDF(2432Kb)  |  收藏  |  浏览/下载:101/7  |  提交时间:2023/12/21
Domain generalization  feature disentanglement  Fourier transform  data augmentation  
A New Diagnosis Method with Few-shot Learning Based on a Class-rebalance Strategy for Scarce Faults in Industrial Processes 期刊论文
Machine Intelligence Research, 2023, 页码: 1-12
作者:  Xu, Xinyao;  Xu, De;  Qin, Fangbo
Adobe PDF(1677Kb)  |  收藏  |  浏览/下载:192/66  |  提交时间:2023/06/21
data augmentation  feature clustering  class-rebalance strategy  few-shot learning  fault diagnosis  
Cross-domain few-shot learning approach for lithium-ion battery surface defects classification using an improved siamese network 期刊论文
IEEE SENSORS JOURNAL, 2022, 页码: 1-1
作者:  Wu, Ke;  Tan, Jie;  Liu, Cheng Bao
Adobe PDF(5175Kb)  |  收藏  |  浏览/下载:328/121  |  提交时间:2022/06/14
Few-shot Learning  3D measurement  defect detection  image classification  
Generalization on Unseen Domains via Model-Agnostic Learning for Intelligent Fault Diagnosis 期刊论文
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2022, 卷号: 71, 页码: 11
作者:  Wang, Huanjie;  Bai, Xiwei;  Wang, Sihan;  Tan, Jie;  Liu, Chengbao
Adobe PDF(3477Kb)  |  收藏  |  浏览/下载:289/52  |  提交时间:2022/06/06
Data-driven fault diagnosis  Domain generalization  Model-agnostic learning  Rolling bearing  
Cross-attention-map-based regularization for adversarial domain adaptation 期刊论文
NEURAL NETWORKS, 2022, 卷号: 145, 页码: 128-138
作者:  Jingwei, Li;  Huanjie, Wang;  Ke, Wu;  Chengbao, Liu;  Jie, Tan
Adobe PDF(1969Kb)  |  收藏  |  浏览/下载:250/8  |  提交时间:2021/12/28
Domain adaptation  Few-shot learning  Attention mechanism  Contrastive learning  
Deep prototypical networks based domain adaptation for fault diagnosis 期刊论文
JOURNAL OF INTELLIGENT MANUFACTURING, 2020, 页码: 11
作者:  Wang, Huanjie;  Bai, Xiwei;  Tan, Jie;  Yang, Jiechao
Adobe PDF(1084Kb)  |  收藏  |  浏览/下载:253/55  |  提交时间:2021/01/06
Bearing  Fault diagnosis  Domain adaptation  Prototype learning