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Risk Evaluation of Underway POL Replenishment at Sea Based on Clustering Algorithm

Xin Mu, Jikun Guo, Chunjiang Zhao, Yongjie Niu


This paper presents a new risk-evaluation model for underway POL replenishment at sea, which is based on clustering algorithm. Although there are many studies on risks involved in POL replenishment at sea, the majority of them are mainly focused on the risks caused by sea conditions. In reality, there are many other influencing factors, such as thunder and lighting, dense fog, and so on. Thus, the results obtained in those previous studies are incomplete with many uncertainties still existing. By taking several major environment factors into consideration, this paper employs clustering algorithm to analyze data in simulated experiments, and puts forward a new risk-evaluation model for underway POL replenishment at sea.


risk evaluation, underway POL replenishment at sea; clustering algorithm.

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