Abstract
This paper presents a theory of large data analysis of vehicle reliability based on vehicle fault data. By collecting fault data of vehicles with different energy types, the theory of vehicle fault statistics and reliability analysis suitable for large data analysis is proposed, and the reliability level of different types of vehicles is evaluated comprehensively by weighted analysis method. Through comparative analysis, this paper reveals the fault change rule and reliability level of new energy vehicles, and provides basic support for improving the reliability of new energy vehicles, reducing maintenance costs, expanding consumers’ purchase choices, and improving the sales volume of new energy vehicles.
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Yang, X.J., Xv, S.Q., Liu, F.J. (2020). New Energy Vehicle Reliability Research by Large Data. In: Xhafa, F., Patnaik, S., Tavana, M. (eds) Advances in Intelligent Systems and Interactive Applications. IISA 2019. Advances in Intelligent Systems and Computing, vol 1084. Springer, Cham. https://doi.org/10.1007/978-3-030-34387-3_15
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DOI: https://doi.org/10.1007/978-3-030-34387-3_15
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