Adam Thelen

According to our database, Adam Thelen authored at least 7 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Physics-Informed Machine Learning for Battery Degradation Diagnostics: A Comparison of State-of-the-Art Methods.

Sina Navidi, Adam Thelen, Tingkai Li, Chao Hu

CoRR, 2024

2023

Predicting Battery Lifetime Under Varying Usage Conditions from Early Aging Data.

Tingkai Li, Zihao Zhou, Adam Thelen, David A. Howey, Chao Hu

CoRR, 2023

Federated Learning with Uncertainty-Based Client Clustering for Fleet-Wide Fault Diagnosis.

Hao Lu, Adam Thelen, Olga Fink, Chao Hu, Simon Laflamme

CoRR, 2023

2022

Ensembles of probabilistic LSTM predictors and correctors for bearing prognostics using industrial standards.

Venkat Nemani, Hao Lu, Adam Thelen, Chao Hu, Andrew T. Zimmerman

Neurocomputing, 2022

A Comprehensive Review of Digital Twin - Part 1: Modeling and Twinning Enabling Technologies.

Adam Thelen, Xiaoge Zhang, Olga Fink, Yan Lu, Sayan Ghosh, Byeng D. Youn, Michael D. Todd, Sankaran Mahadevan, Chao Hu, Zhen Hu

CoRR, 2022

A Comprehensive Review of Digital Twin - Part 2: Roles of Uncertainty Quantification and Optimization, a Battery Digital Twin, and Perspectives.

Adam Thelen, Xiaoge Zhang, Olga Fink, Yan Lu, Sayan Ghosh, Byeng D. Youn, Michael D. Todd, Sankaran Mahadevan, Chao Hu, Zhen Hu

CoRR, 2022

2021

A physics-informed deep learning approach for bearing fault detection.

Sheng Shen, Hao Lu, Mohammadkazem Sadoughi, Chao Hu, Venkat Nemani, Adam Thelen, Keith Webster, Matthew J. Darr, Jeff Sidon, Shawn Kenny

Eng. Appl. Artif. Intell., 2021