Adam Thelen

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 7

Top Topics

Ensemble Members

Fault Detection

Probabilistic Logic

Tennessee Eastman

Top Venues

Eng. Appl. Artif. Intell.

Publications

Sina Navidi, Adam Thelen, Tingkai Li, Chao Hu
Physics-Informed Machine Learning for Battery Degradation Diagnostics: A Comparison of State-of-the-Art Methods. CoRR (2024)
Hao Lu, Adam Thelen, Olga Fink, Chao Hu, Simon Laflamme
Federated Learning with Uncertainty-Based Client Clustering for Fleet-Wide Fault Diagnosis. CoRR (2023)
Tingkai Li, Zihao Zhou, Adam Thelen, David A. Howey, Chao Hu
Predicting Battery Lifetime Under Varying Usage Conditions from Early Aging Data. CoRR (2023)
Adam Thelen, Xiaoge Zhang, Olga Fink, Yan Lu, Sayan Ghosh, Byeng D. Youn, Michael D. Todd, Sankaran Mahadevan, Chao Hu, Zhen Hu
A Comprehensive Review of Digital Twin - Part 1: Modeling and Twinning Enabling Technologies. CoRR (2022)
Venkat Nemani, Hao Lu, Adam Thelen, Chao Hu, Andrew T. Zimmerman
Ensembles of probabilistic LSTM predictors and correctors for bearing prognostics using industrial standards. Neurocomputing 491 (2022)
Adam Thelen, Xiaoge Zhang, Olga Fink, Yan Lu, Sayan Ghosh, Byeng D. Youn, Michael D. Todd, Sankaran Mahadevan, Chao Hu, Zhen Hu
A Comprehensive Review of Digital Twin - Part 2: Roles of Uncertainty Quantification and Optimization, a Battery Digital Twin, and Perspectives. CoRR (2022)
Sheng Shen, Hao Lu, Mohammadkazem Sadoughi, Chao Hu, Venkat Nemani, Adam Thelen, Keith Webster, Matthew J. Darr, Jeff Sidon, Shawn Kenny
A physics-informed deep learning approach for bearing fault detection. Eng. Appl. Artif. Intell. 103 (2021)