Te Han

Publication Activity (10 Years)

Years Active: 1979-2024
Publications (10 Years): 27

Top Topics

Rotating Machinery

Top Venues

Reliab. Eng. Syst. Saf.

IEEE Trans. Instrum. Meas.

Publications

Yuqi Tang, Xin Yang, Te Han, Fangyan Zhang, Bin Zou, Huihui Feng
Enhanced Graph Structure Representation for Unsupervised Heterogeneous Change Detection. Remote. Sens. 16 (4) (2024)
Te Han, Yuqi Tang, Bin Zou, Huihui Feng
Unsupervised multimodal change detection based on adaptive optimization of structured graph. Int. J. Appl. Earth Obs. Geoinformation 126 (2024)
Ruonan Liu, Quanhu Zhang, Te Han
Survey on Foundation Models for Prognostics and Health Management in Industrial Cyber-Physical Systems. CoRR (2023)
Shicheng Pei, Huan Wang, Te Han
Time-Efficient Neural Architecture Search for Autonomous Underwater Vehicle Fault Diagnosis. IEEE Trans. Instrum. Meas. 72 (2023)
Yifan Zhou, Tian-jian Luo, Xiaochen Zhang, Te Han
Spatial Feature Regularization and Label Decoupling Based Cross-Subject Motor Imagery EEG Decoding. PRCV (13) (2023)
Taotao Zhou, Laibin Zhang, Te Han, Enrique López Droguett, Ali Mosleh, Felix T. S. Chan
An uncertainty-informed framework for trustworthy fault diagnosis in safety-critical applications. Reliab. Eng. Syst. Saf. 229 (2023)
Huixing Meng, Mengyao Geng, Te Han
Long short-term memory network with Bayesian optimization for health prognostics of lithium-ion batteries based on partial incremental capacity analysis. Reliab. Eng. Syst. Saf. 236 (2023)
Te Han, Wenzhen Xie, Zhongyi Pei
Semi-supervised adversarial discriminative learning approach for intelligent fault diagnosis of wind turbine. Inf. Sci. 648 (2023)
Zhe Li, Jing Zhao, Te Han
The Performance Analysis of SPMA Protocol in High Speed Mobile Ad Hoc Network. IEEE Access 11 (2023)
Zhe Wang, Zhiying Wu, Xingqiu Li, Haidong Shao, Te Han, Min Xie
Attention-aware temporal-spatial graph neural network with multi-sensor information fusion for fault diagnosis. Knowl. Based Syst. 278 (2023)
Wenzhen Xie, Te Han, Zhongyi Pei, Min Xie
A unified out-of-distribution detection framework for trustworthy prognostics and health management in renewable energy systems. Eng. Appl. Artif. Intell. 125 (2023)
Zhenyu Deng, Te Han, Ruonan Liu, Fengyao Zhi
A fault diagnosis method in industrial processes with integrated feature space and optimized random forest. ISIE (2022)
Yuzeng Chen, Yuqi Tang, Zhiyong Yin, Te Han, Bin Zou, Huihui Feng
Single Object Tracking in Satellite Videos: A Correlation Filter-Based Dual-Flow Tracker. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15 (2022)
Yuzeng Chen, Yuqi Tang, Te Han, Yuwei Zhang, Bin Zou, Huihui Feng
RAMC: A Rotation Adaptive Tracker with Motion Constraint for Satellite Video Single-Object Tracking. Remote. Sens. 14 (13) (2022)
Min Qian, Yan-Fu Li, Te Han
Positive-Unlabeled Learning-Based Hybrid Deep Network for Intelligent Fault Detection. IEEE Trans. Ind. Informatics 18 (7) (2022)
Taotao Zhou, Te Han, Enrique López Droguett
Towards trustworthy machine fault diagnosis: A probabilistic Bayesian deep learning framework. Reliab. Eng. Syst. Saf. 224 (2022)
Te Han, Yuqi Tang, Yuzeng Chen
Heterogeneous Image Change Detection Based on Two-Stage Joint Feature Learning. IGARSS (2022)
Te Han, Yan-Fu Li
Out-of-distribution detection-assisted trustworthy machinery fault diagnosis approach with uncertainty-aware deep ensembles. Reliab. Eng. Syst. Saf. 226 (2022)
Te Han, Chao Liu, Rui Wu, Dongxiang Jiang
Deep transfer learning with limited data for machinery fault diagnosis. Appl. Soft Comput. 103 (2021)
Xin Li, Xiang Zhong, Haidong Shao, Te Han, Changqing Shen
Multi-sensor gearbox fault diagnosis by using feature-fusion covariance matrix and multi-Riemannian kernel ridge regression. Reliab. Eng. Syst. Saf. 216 (2021)
Te Han, Yuqi Tang, Xin Yang, Zefeng Lin, Bin Zou, Huihui Feng
Change Detection for Heterogeneous Remote Sensing Images with Improved Training of Hierarchical Extreme Learning Machine (HELM). Remote. Sens. 13 (23) (2021)
Te Han, Yan-Fu Li, Min Qian
A Hybrid Generalization Network for Intelligent Fault Diagnosis of Rotating Machinery Under Unseen Working Conditions. IEEE Trans. Instrum. Meas. 70 (2021)
Te Han, Chao Liu, Wenguang Yang, Dongxiang Jiang
A novel adversarial learning framework in deep convolutional neural network for intelligent diagnosis of mechanical faults. Knowl. Based Syst. 165 (2019)
Te Han, Chao Liu, Wenguang Yang, Dongxiang Jiang
Deep Transfer Network with Joint Distribution Adaptation: A New Intelligent Fault Diagnosis Framework for Industry Application. CoRR (2018)
Te Han, Dongxiang Jiang, Qi Zhao, Lei Wang, Kai Yin
Comparison of random forest, artificial neural networks and support vector machine for intelligent diagnosis of rotating machinery. Trans. Inst. Meas. Control 40 (8) (2018)
Xiaochen Zhang, Dongxiang Jiang, Te Han, Nanfei Wang, Wenguang Yang, Yizhou Yang
Rotating Machinery Fault Diagnosis for Imbalanced Data Based on Fast Clustering Algorithm and Support Vector Machine. J. Sensors 2017 (2017)
Te Han, Dongxiang Jiang, Xiaochen Zhang, Yankui Sun
Intelligent Diagnosis Method for Rotating Machinery Using Dictionary Learning and Singular Value Decomposition. Sensors 17 (4) (2017)
Bohan Wu, Weixin Gai, Te Han
A novel frequency search algorithm to achieve fast locking without phase tracking in ADPLL. ISCAS (2013)
Te Han, Weixin Gai
A 2.7-GHz digitally-controlled ring oscillator with supply sensitivity of 0.0014%-fDCO/1%-VDD using digital current-regulated tuning. ISCAS (2013)
Te Han
Source coding with cross observations at the encoders (Corresp.). IEEE Trans. Inf. Theory 25 (3) (1979)