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Physics-Informed Neural Networks for Prognostics and Health Management of Lithium-Ion Batteries.

P. Wen, Z. Ye, Y. Li, S. Chen, P. Xie, and S. Zhao. IEEE Trans. Intell. Veh., 9 (1): 2276-2289 (January 2024)

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Pengfei Li

Pengfei Xue

Pengfei Xu

Pengfei Liu

Ming Wen

Other publications of authors with the same name

A New Anomaly Detection Method Based on Multi-dimensional Condition Monitoring Data for Aircraft Engine.S. Chen, M. Wu, S. Zhao, P. Wen, D. Huang, and Y. Wang. ICPHM, page 1-7. IEEE, (2019)A Novel Bayesian Update Method for Parameter Reconstruction of Remaining Useful Life Prognostics.P. Wen, S. Chen, S. Zhao, Y. Li, Y. Wang, and Z. Dou. ICPHM, page 1-8. IEEE, (2019)A Hybrid Bayesian Deep Learning Model for Remaining Useful Life Prognostics and Uncertainty Quantification.D. Huang, R. Bai, S. Zhao, P. Wen, J. He, S. Wang, and S. Chen. ICPHM, page 1-8. IEEE, (2021)A Multimode Anomaly Detection Method Based on OC-ELM for Aircraft Engine System.S. Chen, M. Wu, P. Wen, F. Xu, S. Wang, and S. Zhao. IEEE Access, (2021)Remaining Useful Life Prediction for Complex Systems With Multiple Indicators Based on Particle Filter and Parameter Correlation.S. Chen, M. Wang, D. Huang, P. Wen, S. Wang, and S. Zhao. IEEE Access, (2020)An Improved Particle Filter Method for Accurate Remaining Useful Life Prediction.D. Huang, M. Wang, S. Zhao, P. Wen, S. Chen, and Z. Dou. ICPHM, page 1-8. IEEE, (2019)Bayesian Neural Network Based Method of Remaining Useful Life Prediction and Uncertainty Quantification for Aircraft Engine.D. Huang, R. Bai, S. Zhao, P. Wen, S. Wang, and S. Chen. ICPHM, page 1-8. IEEE, (2020)Deep flight track clustering based on spatial-temporal distance and denoising auto-encoding.G. Liu, Y. Fan, J. Zhang, P. Wen, Z. Lyu, and X. Yuan. Expert Syst. Appl., (2022)Fusing Models for Prognostics and Health Management of Lithium-Ion Batteries Based on Physics-Informed Neural Networks.P. Wen, Z. Ye, Y. Li, S. Chen, and S. Zhao. CoRR, (2023)Physics-Informed Neural Networks for Prognostics and Health Management of Lithium-Ion Batteries.P. Wen, Z. Ye, Y. Li, S. Chen, P. Xie, and S. Zhao. IEEE Trans. Intell. Veh., 9 (1): 2276-2289 (January 2024)

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Disambiguation of "Wen, Pengfei"

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Physics-Informed Neural Networks for Prognostics and Health Management of Lithium-Ion Batteries.

Please choose a person to relate this publication to

Pengfei Li

Pengfei Xue

Pengfei Xu

Pengfei Liu

Ming Wen

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Wen, Pengfei"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Physics-Informed Neural Networks for Prognostics and Health Management of Lithium-Ion Batteries.

Please choose a person to relate this publication to

Pengfei Li

Pengfei Xue

Pengfei Xu

Pengfei Liu

Ming Wen

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Physics-Informed Neural Networks for Prognostics and Health Management of Lithium-Ion Batteries.