Data efficient health prognostic for batteries based on sequential information-driven probabilistic neural network
Accurate and reliable prediction of the battery capacity degradation is vital for predictive
health management. This paper proposes a novel framework to improve the accuracy and …
health management. This paper proposes a novel framework to improve the accuracy and …
Artificial intelligence-based data-driven prognostics in industry: A survey
MA El-Brawany, DA Ibrahim, HK Elminir… - Computers & Industrial …, 2023 - Elsevier
In the age of Industry 5.0, prognostics and health management (PHM) is very important for
proactive and scheduled maintenance in industrial processes. The target of prognosis is the …
proactive and scheduled maintenance in industrial processes. The target of prognosis is the …
Parallel state fusion LSTM-based early-cycle stage lithium-ion battery RUL prediction under Lebesgue sampling framework
G Lyu, H Zhang, Q Miao - Reliability Engineering & System Safety, 2023 - Elsevier
Remaining useful life (RUL) prediction for lithium-ion batteries in early-cycle stage is of great
significance for improving battery performance and reducing losses caused by accidental …
significance for improving battery performance and reducing losses caused by accidental …