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- W4313590921 abstract "Cost and durability are crucial factors limiting the widespread commercialization of proton exchange membrane fuel cells (PEMFC). Prognostics, aiming at health indicator extraction and remaining useful life prediction, is a key issue for PEMFC durability enhancement. However, deploying prognostics for PEMFC under dynamic load still faces challenges in extracting health indicators reliably and predicting the degradation evolution efficiently. This work proposes a data-driven PEMFC prognostics approach, in which Hilbert-Huang transform is used to extract health indicator in dynamic operating conditions and symbolic-based gated recurrent unit model is used to predict the remaining useful life. The proposed method is tested using long-term dynamic load ageing experiments. The results show that the method can provide reliable prognostics horizons and improve real-time performance." @default.
- W4313590921 created "2023-01-06" @default.
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- W4313590921 date "2022-11-23" @default.
- W4313590921 modified "2023-10-16" @default.
- W4313590921 title "A hybrid method for remaining useful life prediction of fuel cells under variable loads" @default.
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- W4313590921 doi "https://doi.org/10.1109/icsc57768.2022.9993918" @default.
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