Zeng, C., 2020. Intelligent retrieval system of ship fault information based on big data analysis. In: Yang, Y.; Mi, C.; Zhao, L., and Lam, S. (eds.), Global Topics and New Trends in Coastal Research: Port, Coastal and Ocean Engineering. Journal of Coastal Research, Special Issue No. 103, pp. 882–886. Coconut Creek (Florida), ISSN 0749-0208.

In order to improve the efficiency of intelligent retrieval of ship fault information, an intelligent retrieval system of ship fault information based on big data analysis is proposed. Under the analysis of big data, the hardware design of the system is completed by using the overall architecture design of the system and the design of the ship fault information integrator; the software design of the system is completed through the pre-processing of the ship fault information retrieval and the design of the intelligent retrieval algorithm of the ship fault information, and the intelligent retrieval of the ship fault information is realized. The experimental results show that the intelligent retrieval system of ship fault information based on big data analysis can improve the efficiency of fault information retrieval.