한국추진공학회지 (Journal of the Korean Society of Propulsion Engineers)

  • 제23권4호
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  • Pages.98-103
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  • 2019
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  • 1226-6027(pISSN)
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  • 2288-4548(eISSN)
한국추진공학회 (The Korean Society of Propulsion Engineers)
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함정 디젤발전기 데이터기반 건전성 예측모델에 관한 연구

Integrity Prediction Model of Data-driven Diesel Generator for Naval Vessels

  • 투고 : 2018.12.27
  • 심사 : 2019.05.01
  • 발행 : 2019.08.01
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⟨ 이전 논문 다음 논문 ⟩

초록

함정 운용 장비의 건전성 예측은 유지보수의 효율성 및 긴박한 상황에서의 운용성능 유지를 위한 필수 요소이다. 최근 함정의 양적인 증가와 작전반경 확대에 따라 운용성능 유지를 위해 통합조건평가시스템(ICAS)을 도입하여 운용중이며, 관련기술 국산화를 위해 다각도로 연구가 진행되고 있다. 본 논문에서는 함정 운용 장비인 디젤발전기의 건전성 예측방법 중 데이터기반 모델 적용에 대한 결과를 제시 하였다.

Integrity prediction of the operation equipment of naval vessels is essential to maintain the efficiency of the operation performance in urgent situations. Recently, the integrated condition assessment system(ICAS) was introduced and maintained to improve operational performance. This technology is related with ICAS, and it must be localized through extensive research. In this paper, we present the results of applying the data-driven model to the predictability methods of diesel generators, which are naval vessel operation equipment.

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참고문헌

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