83 citations · 163 across the 5 of their papers we have counts for
5 papers
Physics-Informed Machine Learning for Battery Degradation Diagnostics: A Comparison of State-of-the-Art Methods
Sina Navidi, Adam Thelen, Tingkai Li +1
Monitoring the health of lithium-ion batteries' internal components as they age is crucial for optimizing cell design and usage control strategies. However, quantifying component-l…
Predicting Battery Lifetime Under Varying Usage Conditions from Early Aging Data
Tingkai Li, Zihao Zhou, Adam Thelen +2
Accurate battery lifetime prediction is important for preventative maintenance, warranties, and improved cell design and manufacturing. However, manufacturing variability and usage…
Federated Learning with Uncertainty-Based Client Clustering for Fleet-Wide Fault Diagnosis
Hao Lu, Adam Thelen, Olga Fink +2
Operators from various industries have been pushing the adoption of wireless sensing nodes for industrial monitoring, and such efforts have produced sizeable condition monitoring d…
A Comprehensive Review of Digital Twin -- Part 1: Modeling and Twinning Enabling Technologies
Adam Thelen, Xiaoge Zhang, Olga Fink +7
As an emerging technology in the era of Industry 4.0, digital twin is gaining unprecedented attention because of its promise to further optimize process design, quality control, he…
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 +7
As an emerging technology in the era of Industry 4.0, digital twin is gaining unprecedented attention because of its promise to further optimize process design, quality control, he…