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한국국방연구원> 국방정책연구> 인공지능과 빅데이터를 활용한 예지 정비(Predictive maintenance) 적용 방안에 관한 연구: NASA Data repository에 대한 적용을 중심으로

KCI등재

인공지능과 빅데이터를 활용한 예지 정비(Predictive maintenance) 적용 방안에 관한 연구: NASA Data repository에 대한 적용을 중심으로

A study on the application of predictive maintenance using artificial intelligence and big data

홍창우
  • : 한국국방연구원
  • : 국방정책연구 136권0호
  • : 연속간행물
  • : 2022년 07월
  • : 197-228(32pages)
국방정책연구

DOI


목차

Ⅰ. 서론
Ⅱ. 이론적 배경
Ⅲ. 연구 설계
Ⅳ. 결과 및 고찰
Ⅴ. 결론

키워드 보기


초록 보기

Artificial intelligence and big data are the core technologies of the Fourth Industrial Revolution and are changing the landscape in many fields, including national defense. This study specifically describes the concept of predictive maintenance that can directly utilize artificial intelligence and bigdata, and uses the turbofan engine dataset and the bearing dataset among NASA data as its application methods. For predictive maintenance, sound predictive management is essential, and when artificial intelligence is properly used, it is possible to analyze vast amounts of data and make accurate predictions. In addition, future research directions for applying artificial intelligence and big data to the defense field in the future were presented.

UCI(KEPA)

간행물정보

  • : 사회과학분야  > 정치/외교학
  • : KCI등재
  • :
  • : 계간
  • : 1598-6101
  • : 2672-1392
  • : 학술지
  • : 연속간행물
  • : 1985-2022
  • : 1010


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