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http://dx.doi.org/10.7837/kosomes.2021.27.1.060

Study on Text Analysis of the Liquefied Natural Gas Carriers Dock Specification for Development of the Ship Predictive Maintenance Model  

Hwang, Taemin (Department of Maritime Transportation System Mokpo National Maritime University)
Youn, Ik-Hyun (Division of Navigation & Information Systems, Mokpo National Maritime University)
Oh, Jungmo (Division of Marine Engineering, Mokpo National Maritime University)
Publication Information
Journal of the Korean Society of Marine Environment & Safety / v.27, no.1, 2021 , pp. 60-66 More about this Journal
Abstract
The importance of maintenance is leading the application of the maintenance strategy in various industries. The maritime industry is also a part of them, with changes in selecting and applying the maintenance strategy, but rather slowly, by retaining the old strategy. In particular, the ship is maintaining a previously used strategy. In the circumstance of the sea, ship requires a new suggestion for maintenance strategy. A ship predictive maintenance model predicts the breakdown or malfunction of machineries to secure maintenance time with preventive actions and treatments, thereby avoiding maintenance-related dangerous factors. This study focused on applying text analysis to an Liquefied Natural Gas Carriers dock indent document, and the analysis results were interpreted from the original document. The inter-relational patterns observed from the frequency of common maintenance combinations among different parts and equipment in ships will be applied to the development of ship predictive maintenance.
Keywords
Maintenance strategy; Ship predictive maintenance model; Text analysis; Inter-relational pattern; Topic analysis;
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