인공지능과 빅데이터를 활용한 예지 정비 적용 방안에 관한 연구
A study on the application of predictive maintenance using artificial intelligence and big data
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초록
인공지능과 빅데이터는 4차 산업혁명의 핵심기술이며 국방을 포함한 많은 분야의 판도를 바꾸고 있다. 본 연구는 인공지능과 빅데이터를 직접 활용할 수 있는 예지 정비의 개념에 대해 구체적으로 기술하고, 그 적용 방법으로 NASA 데이터 중 터보팬 엔진 데이터 세트와 베어링 데이터 세트를 활용하였다. 예지 정비를 위해서는 건전성예측관리가 필수적이며, 인공지능을 적절히 활용하였을 때 방대한 데이터에 대한 분석과 정확한 예측을 할 수 있음을 확인하였다. 또한, 앞으로 인공지능과 빅데이터를 국방 분야에 적용하기 위한 향후 연구 방향을 제시하였다.
Abstract
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.
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