Recently, buildings tend to be large size, complex shape and functional. As the size of buildings is becoming massive, the need for structural health monitoring (SHM) technique is increasing. Various SHM techniques have been studied for buildings which have different dynamic characteristics and influenced by various external loads. “Abnormal behavior point” is a moment when the structure starts vibrating abnormally and this can be detected by comparing between before and after abnormal behavior point. In other words, anomalous behavior is a sign of damage on structures and estimating the abnormal behavior point can be directly related to the safety of structure. Abnormal behavior causes damage on structures and this leads to enormous economic damage as well as damage for humans. This study proposes an estimating technique to find abnormal behavior point using Hilber-Huang Transform which is a time-frequency signal analysis technique and the proposed algorithm has been examined through laboratory tests with a bridge model using a shaking table.

1. 서 론
 2. 이상거동 시점 추정 기법 제안
  2.1 힐버트-황 변환
  2.2 변량 분석
  2.3 경계 탐색
 3. 이상거동 시점 추정 기법 검증
  3.1 실험설계
  3.2 이동시점 추정 결과 분석
 4. 결 론
 감사의 글
 References

• 김태현(정회원, 한국건설기술연구원 구조융합연구소 연구원) | Tae-Heon Kim 교신저자
• 박기태(정회원, 한국건설기술연구원 구조융합연구소 연구위원) | Ki-Tae Park