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생물학적 학습과 기억모델을 이용한 장대교량의 이상거동 감지 알고리즘

Abnormal Behavior Detection Algorithm of Long Spanned Bridge using Biological Learning and Memory Model

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  • URLhttps://db.koreascholar.com/Article/Detail/287503
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한국구조물진단유지관리공학회 (The Korea Institute For Structural Maintenance and Inspection)
초록

All living organisms use memory and oblivion algorithms considering the estimated lifetime and the changes in the ambient environment. Because of the expected lifetime of a bridge is similar to the human’s one, if a bridge uses the same algorithm of human memory, the abnormal responses of the structure can be easily detected. This paper introduces unfamiliarity index (UFI) that calculated from the FFT results of the short term timeline acceleration responses. If this algorithm, which can detect an abnormal behavior from the maximum constant signal, is used to the terminal sensors of an structure, more accurate safety control criteria will be prepared efficiently.

저자
  • 김병철(한국건설기술연구원) | Kim, Byeong Cheol 교신저자
  • 박기태(한국건설기술연구원) | Park, Ki Tae
  • 주봉철(한국건설기술연구원) | Joo, Bong Chul
  • 김태헌(한국건설기술연구원) | Kim, Tae Heon