most citedPhysics-Informed Neural Networks for Prognostics and Health Management of Lithium-Ion Batteries

6 citations · 6 across the 2 of their papers we have counts for

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eess.SP2025

Data-Efficient Motor Condition Monitoring with Time Series Foundation Models

Deyu Li, Xinyuan Liao, Shaowei Chen +1

Motor condition monitoring is essential for ensuring system reliability and preventing catastrophic failures. However, data-driven diagnostic methods often suffer from sparse fault…

eess.SP2023★ 6 cited

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

Pengfei Wen, Zhi-Sheng Ye, Yong Li +3

For Prognostics and Health Management (PHM) of Lithium-ion (Li-ion) batteries, many models have been established to characterize their degradation process. The existing empirical o…