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Degradation prediction of proton exchange membrane fuel cell based on Bi-LSTM-GRU and ESN fusion prognostic framework
Affiliation:Key Laboratory of Power Battery Systems and Safety (CPCIF), Key Laboratory of Pressure Systems and Safety (MOE), School of Mechanical and Power Engineering, East China University of Science and Technology, Shanghai 200237, China
Abstract:
Keywords:PEMFC  Prognostic  Remaining useful life  Bi-LSTM-GRU  Deep learning
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