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In recent years, with the rapid development of deep learning and the continuous increase in the amount of data in spacecraft systems, the new machine learning platforms, which have friendly process analysis framework, rich plugs and play machine learning tools and distributed services, can provide new ideas of complex problem handling in the fields of spacecraft. On the basis of the analysis of the difficulties in spacecraft prognostic and health management, it proposed the design scheme and method of spacecraft health management platform based on machine learning modeling, and the key technologies such as multi-language fusion health management algorithm model construction and distributed health management computing service engine are analyzed, too. Then, the actual application effect is verified with the satellite solar array power forecasting and other cases. The experiment results show that the research can provide technical reference for the research and application of spacecraft health management technology based on machine learning modelling, and ultimately improve the safety of the spacecraft.