기계학습 알고리즘을 통한 구조물 파괴 신호 특정 및 진단 모델 개발

초록

In this study, we have built an machine learning algorithm which classifies randomly synthesized signals of human activities. The developed algorithm, distinguishes the acoustic emission signals from concrete failure from human-induced noises. The reduction of the structural safety is observed in real time to minimize the risk of property and personal injury caused by hazard.