Hang Cheng1, Jiawen Fei1, Jianfeng Wen1,*, Shan-Tung Tu1,*
The International Conference on Computational & Experimental Engineering and Sciences, Vol.27, No.2, pp. 1-1, 2023, DOI:10.32604/icces.2023.09663
Abstract Alkaline water electrolysis system for hydrogen production has the characteristics of complex structure,
fault coupling and state nonlinearity, coupled with the restriction by many factors such as data acquisition
methods and analysis methods. The operation status cannot be fully characterized through current
monitoring information. In order to solve the problems in health status assessment in the operation of
alkaline water electrolysis system, a digital twin-driven predictive maintenance method is put forward to
achieve the real-time monitoring of operation status and prediction of remaining useful life. In the study, a
multi-disciplinary simulation model of the alkaline electrolysis system and a physical… More >
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