Research on ship defect diagnosis based on adaptive Apriori algorithm

Sen Qiao; ZhongYi Zheng; Dongqin Liu

doi:10.1117/12.2619998

22 December 2021 Research on ship defect diagnosis based on adaptive Apriori algorithm

Sen Qiao, ZhongYi Zheng, Dongqin Liu

Proceedings Volume 12058, Fifth International Conference on Traffic Engineering and Transportation System (ICTETS 2021); 120580K (2021) https://doi.org/10.1117/12.2619998
Event: 5th International Conference on Traffic Engineering and Transportation System (ICTETS 2021), 2021, Chongqing, China

Abstract

In order to improve the efficiency of port state control (PSC), a method of ship defect diagnosis based on adaptive Apriori algorithm is proposed. The effective rule rate of ship defect is 100%, and the effective rule rate of ship defect is 78%. It is proved that the application of adaptive Apriori algorithm in ship defect diagnosis is scientific. The generated association rules can provide basic guidance for PSC inspection to improve inspection efficiency and promote maritime safety.

Citation Download Citation

Sen Qiao, ZhongYi Zheng, and Dongqin Liu "Research on ship defect diagnosis based on adaptive Apriori algorithm", Proc. SPIE 12058, Fifth International Conference on Traffic Engineering and Transportation System (ICTETS 2021), 120580K (22 December 2021); https://doi.org/10.1117/12.2619998

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