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http://dx.doi.org/10.5762/KAIS.2020.21.11.420

Analysis of Sea Trial's Title for Naval Ships Based on Big Data  

Lee, Hyeong-Sin (Defence Agency for Technology and Quality(DTaQ))
Seo, Hyeong-Pil (Defence Agency for Technology and Quality(DTaQ))
Beak, Yong-Kawn (Defence Agency for Technology and Quality(DTaQ))
Lee, Sang-Il (Defence Agency for Technology and Quality(DTaQ))
Publication Information
Journal of the Korea Academia-Industrial cooperation Society / v.21, no.11, 2020 , pp. 420-426 More about this Journal
Abstract
The purpose and main points of the ROK-US Navy were analyzed from various angles using the big data technology Word Cloud for efficient sea trials. First, a comparison of words extracted through keyword cleansing in the ROK-US Navy sea trial showed that the ROK Navy conducted a single equipment test, and the US Navy conducted an integrated test run focusing on the system. Second, an analysis of the ROK-US Navy sea trials showed that approximately 66.6% were analyzed as similar items, of which more than two items were 112 items Approximately 44% of the 252 items of the ROK Navy sea trials overlapped, and that 89 items (35% of the total) could be reduced when integrated into the US Navy sea trials. A ship is a complex system in which multiple equipment operates simultaneously. The focus on checking the functions and performance of individual equipment, such as the ROK Navy's sea trials, will increase the sea trial period because of the excessive number of sea trial targets. In addition, the budget required will inevitably increase due to an increase in schedule and evaluation costs. In the future, further research will be needed to achieve more efficient and accurate sea trials through integrated system evaluations, such as the U.S. Navy sea trials.
Keywords
Sea Trial; Naval Ship; Word Cloud; Big Data; Inspection;
Citations & Related Records
Times Cited By KSCI : 6  (Citation Analysis)
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