Presentation + Paper
5 April 2017 Abnormal behavior detection algorithm of infra-structure using unfamiliarity index
Byeongcheol Kim, Kitae Park, Taeheon Kim, Dongwoo Seo
Author Affiliations +
Abstract
This research 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 a structure, more accurate safety control criteria will be prepared efficiently.
Conference Presentation
© (2017) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Byeongcheol Kim, Kitae Park, Taeheon Kim, and Dongwoo Seo "Abnormal behavior detection algorithm of infra-structure using unfamiliarity index", Proc. SPIE 10170, Health Monitoring of Structural and Biological Systems 2017, 101702R (5 April 2017); https://doi.org/10.1117/12.2256981
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KEYWORDS
Sensors

Detection and tracking algorithms

Safety

Signal detection

Fourier transforms

Genetic algorithms

Information technology

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