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Sensor Fault Detection for Structural Health Monitoring System Using Machine Learning Technique

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  • URLhttps://db.koreascholar.com/Article/Detail/367721
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한국구조물진단유지관리공학회 (The Korea Institute For Structural Maintenance and Inspection)
초록

The widespread sensors in a structural monitoring system provide vital support to its operation. Data is obtainedf rom sensors in a structural health monitoring system for integrity assessment of the structure, and false alarm will be frequently triggered if a faulty sensor is detected. In this study, a proposed method based on machine learning algorithm and Gaussian distribution is present to identify sensor fault.

저자
  • 김세훈(세종대학교 건설환경공학과) | Kim Sehoon
  • Sirojiddin Nuriev(세종대학교 건설환경공학과)
  • 이종재(세종대학교 건설환경공학과) | Lee Jong-Jae