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Adam Thelen
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Journal Articles

Degradation-Aware Ensemble of Diverse Predictors for Remaining Useful Life Prediction

Venkat Nemani, Adam Thelen, Chao Hu, Steve Daining
Journal: Journal of Mechanical Design
Article Type: Research Papers
J. Mech. Des. March 2023, 145(3): 031706.
Paper No: MD-22-1420
DOI: https://doi.org/10.1115/1.4056149
Published Online: November 24, 2022
View Article titled, Degradation-Aware Ensemble of Diverse Predictors for Remaining Useful Life Prediction
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Topics: Batteries, Service life (Equipment), Rolling bearings, Uncertainty, Lithium-ion batteries, Bearings
Proceedings Papers

Dynamically Weighted Ensemble of Diverse Learners for Remaining Useful Life Prediction

Venkat Nemani, Adam Thelen, Chao Hu, Steve Daining
Proc. ASME. IDETC-CIE2022, Volume 3A: 48th Design Automation Conference (DAC), V03AT03A041, August 14–17, 2022
Paper No: DETC2022-90252
DOI: https://doi.org/10.1115/DETC2022-90252
View Paper titled, Dynamically Weighted Ensemble of Diverse Learners for Remaining Useful Life Prediction
Click here to open pdf in another window PDF for Dynamically Weighted Ensemble of Diverse Learners for Remaining Useful Life Prediction
Topics: Lithium-ion batteries, Rolling bearings, Service life (Equipment)
Proceedings Papers

Physics-Informed Machine Learning for Degradation Diagnostics of Lithium-Ion Batteries

Adam Thelen, Yu Hui Lui, Sheng Shen, Simon Laflamme, Shan Hu, Chao Hu
Proc. ASME. IDETC-CIE2021, Volume 3A: 47th Design Automation Conference (DAC), V03AT03A041, August 17–19, 2021
Paper No: DETC2021-71407
DOI: https://doi.org/10.1115/DETC2021-71407
View Paper titled, Physics-Informed Machine Learning for Degradation Diagnostics of Lithium-Ion Batteries
Click here to open pdf in another window PDF for Physics-Informed Machine Learning for Degradation Diagnostics of Lithium-Ion Batteries
Topics: Lithium-ion batteries, Machine learning, Physics