Domestic Papers A Study on the Applicability of Naval Maintenance Systems for the Adoption of Digital Twin-based Predictive Maintenance
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조회 408회 작성일 25-07-01 14:54
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| Journal | KNST(The Korean Society for Naval Science and Technology) |
|---|---|
| Name | Kangwoo Lee, Sanghoon Lee, Taehoon Kang, Myunghwan Lee, Donghee Lee |
| Year | 2025 |
The Republic of Korea Navy currently employs MTBF-based periodic maintenance, which fails to reflect lifecycle-based failure rates. This study proposes a digital twin-based predictive maintenance framework and examines its policy and technical foundations. As smart factory initiatives and early-stage digital twin integration expand, a shift toward condition-based maintenance (CBM) is becoming more feasible. PdM has shown practical benefits in aerospace and manufacturing industries, including reduced failure rates, lower maintenance costs, and increased equipment uptime. Furthermore, GCN-based time-series anomaly detection is gaining attention as a key diagnostic tool. This paper highlights PdM’s applicability to naval systems and its potential to improve availability and efficiency.