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Long-term aging prediction of proton exchange membrane fuel cell based on improved long short term memory networks
更新时间：2026-01-28

    • Long-term aging prediction of proton exchange membrane fuel cell based on improved long short term memory networks

    • “In the field of proton exchange membrane fuel cells, experts have proposed a 2D-G-LSTM prediction method based on LOWESS denoising, which effectively improves the accuracy of long-term aging prediction.”
    • Journal of Jilin University(Engineering and Technology Edition)   Vol. 56, Issue 1, Pages: 64-75(2026)
    • 作者机构：

      1.兰州交通大学 自动化与电气工程学院，兰州 730070

      2.中车唐山机车车辆有限公司，河北 唐山 063035

    • DOI：10.13229/j.cnki.jdxbgxb.20240663    

      CLC： TK91

    • Received：14 June 2025，

      Published：01 January 2026

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  • ZHA Peng-tang,QI Feng-xu,YANG Yu-ze,et al.Long-term aging prediction of proton exchange membrane fuel cell based on improved long short term memory networks[J].Journal of Jilin University(Engineering and Technology Edition),2026,56(01):64-75. DOI： 10.13229/j.cnki.jdxbgxb.20240663.

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