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Te Han Sr.

Personal Details

First Name:Te
Middle Name:
Last Name:Han
Suffix:Sr.
RePEc Short-ID:pha1518
[This author has chosen not to make the email address public]
https://scholar.google.com/citations?hl=zh-CNuser=HqIb9_EAAAAJview_op=list_works

Affiliation

Center for Energy and Environmental Policy Research (CEEP)
Beijing Institute of Technology

Beijing, China
http://ceep.bit.edu.cn/
RePEc:edi:cebitcn (more details at EDIRC)

Research output

as
Jump to: Articles

Articles

  1. Yao, Yuantao & Han, Te & Yu, Jie & Xie, Min, 2024. "Uncertainty-aware deep learning for reliable health monitoring in safety-critical energy systems," Energy, Elsevier, vol. 291(C).
  2. Yao, Jiachi & Chang, Zhonghao & Han, Te & Tian, Jingpeng, 2024. "Semi-supervised adversarial deep learning for capacity estimation of battery energy storage systems," Energy, Elsevier, vol. 294(C).
  3. Cheng, Yongbo & Qv, Junheng & Feng, Ke & Han, Te, 2024. "A Bayesian adversarial probsparse Transformer model for long-term remaining useful life prediction," Reliability Engineering and System Safety, Elsevier, vol. 248(C).
  4. Yao, Jiachi & Han, Te, 2023. "Data-driven lithium-ion batteries capacity estimation based on deep transfer learning using partial segment of charging/discharging data," Energy, Elsevier, vol. 271(C).
  5. Zhou, Taotao & Zhang, Laibin & Han, Te & Droguett, Enrique Lopez & Mosleh, Ali & Chan, Felix T.S., 2023. "An uncertainty-informed framework for trustworthy fault diagnosis in safety-critical applications," Reliability Engineering and System Safety, Elsevier, vol. 229(C).
  6. Meng, Huixing & Geng, Mengyao & Han, Te, 2023. "Long short-term memory network with Bayesian optimization for health prognostics of lithium-ion batteries based on partial incremental capacity analysis," Reliability Engineering and System Safety, Elsevier, vol. 236(C).
  7. Zhou, Taotao & Han, Te & Droguett, Enrique Lopez, 2022. "Towards trustworthy machine fault diagnosis: A probabilistic Bayesian deep learning framework," Reliability Engineering and System Safety, Elsevier, vol. 224(C).
  8. Han, Te & Li, Yan-Fu, 2022. "Out-of-distribution detection-assisted trustworthy machinery fault diagnosis approach with uncertainty-aware deep ensembles," Reliability Engineering and System Safety, Elsevier, vol. 226(C).
  9. Li, Xin & Zhong, Xiang & Shao, Haidong & Han, Te & Shen, Changqing, 2021. "Multi-sensor gearbox fault diagnosis by using feature-fusion covariance matrix and multi-Riemannian kernel ridge regression," Reliability Engineering and System Safety, Elsevier, vol. 216(C).
  10. Zhenyu He & Xiaochen Zhang & Chao Liu & Te Han, 2020. "Fault Prognostics for Photovoltaic Inverter Based on Fast Clustering Algorithm and Gaussian Mixture Model," Energies, MDPI, vol. 13(18), pages 1-20, September.

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