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댐 계측데이터에서의 이상치 탐지 및 제거를 위한 전처리 사례 검토

Review of the preprocessing process for detecting and removing outliers from measurement data in dam

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  • URLhttps://db.koreascholar.com/Article/Detail/367740
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한국구조물진단유지관리공학회 (The Korea Institute For Structural Maintenance and Inspection)
초록

Recently, measurement monitoring is actively used for safety management of facilities. However, since the field measurement data contains many outliers, a preprocessing process is required for reliable behavior analysis of the data. In this paper, we present a detection method of time series outliers and its applications. And we propose the precaution for the preprocessing process.

저자
  • 임은상(K-water) | Im Eun Sang
  • 장봉석(K-water) | Jang Bong Seok 교신저자