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        검색결과 4

        1.
        2020.06 KCI 등재 구독 인증기관 무료, 개인회원 유료
        Recently, a study of prognosis and health management (PHM) was conducted to diagnose failure and predict the life of air craft engine parts using sensor data. PHM is a framework that provides individualized solutions for managing system health. This study predicted the remaining useful life (RUL) of aeroengine using degradation data collected by sensors provided by the IEEE 2008 PHM Conference Challenge. There are 218 engine sensor data that has initial wear and production deviations. It was difficult to determine the characteristics of the engine parts since the system and domain-specific information was not provided. Each engine has a different cycle, making it difficult to use time series models. Therefore, this analysis was performed using machine learning algorithms rather than statistical time series models. The machine learning algorithms used were a random forest, gradient boost tree analysis and XG boost. A sliding window was applied to develop RUL predictions. We compared model performance before and after applying the sliding window, and proposed a data preprocessing method to develop RUL predictions. The model was evaluated by R-square scores and root mean squares error (RMSE). It was shown that the XG boost model of the random split method using the sliding window preprocessing approach has the best predictive performance.
        4,000원
        3.
        2010.09 KCI 등재 구독 인증기관 무료, 개인회원 유료
        The feasibility study for reducing ship resistance was carried out. A thin plate was installed in front of bow to guide the air which was induced to the bottom just following to the hull surface when ship is running fast. To confirm the reduction of surface friction, model test in the high speed CWC and numerical simulation were implemented. The results show that the induced air to the bottom is increasing according to the increasing of air velocity and it plays an important role to reduce the frictional resistance.
        4,000원
        4.
        2012.04 KCI 등재 서비스 종료(열람 제한)
        활주형선은 고속 운항시 선저에 동적압력을 발생시켜 선체를 부상시켜 침수표면적을 감소시킴으로서 저항이 감소하게 되어 고속의 항주가 가능하게 된다. 또한, 활주형선 선저부에 공기공급을 유도하면 고속 주행시 선저 공기공급에 따른 접수면 감소로 인하여 전체저항 감소에 따른 속도향상과 연비절감 효과가 있다. 이에, 본 논문에서는 고속 모형시험이 가능한 실 해역모형시험기법을 이용하여 고속 활주형선을 대상으로 선저부에 공기공급을 유도하여 침수표면적 감소에 따른 저항성능 개선을 위해 공기공급 유무에 따른 고속 활주형선의 저항특성을 비교, 분석하였다. 시험결과, 선저 공기공급 활주형선이 공기공급이 없는 선형에 비해 저항감소 효과가 현저하게 나타나는 것을 확인할 수 있었다.