Smart Structures and Systems

  • 제20권1호
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  • Pages.43-52
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  • 2017
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  • 1738-1584(pISSN)
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  • 1738-1991(eISSN)
테크노프레스 (Techno-Press)
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DOI QR코드

DOI QR Code

A sensor fault detection strategy for structural health monitoring systems

  • Chang, Chia-Ming (Department of Civil Engineering, National Taiwan University) ;
  • Chou, Jau-Yu (Department of Civil Engineering, National Taiwan University) ;
  • Tan, Ping (Earthquake Engineering Research & Test Center, Guangzhou University) ;
  • Wang, Lei (Earthquake Engineering Research & Test Center, Guangzhou University)
  • 투고 : 2016.11.15
  • 심사 : 2017.05.09
  • 발행 : 2017.07.25
⟨ 이전 논문 다음 논문 ⟩

초록

Structural health monitoring has drawn great attention in the field of civil engineering in past two decades. These structural health monitoring methods evaluate structural integrity through high-quality sensor measurements of structures. Due to electronic deterioration or aging problems, sensors may yield biased signals. Therefore, the objective of this study is to develop a fault detection method that identifies malfunctioning sensors in a sensor network. This method exploits the autoregressive modeling technique to generate a bank of Kalman estimators, and the faulty sensors are then recognized by comparing the measurements with these estimated signals. Three types of faults are considered in this study including the additive, multiplicative, and slowly drifting faults. To assess the effectiveness of detecting faulty sensors, a numerical example is provided, while an experimental investigation with faults added artificially is studied. As a result, the proposed method is capable of determining the faulty occurrences and types.

키워드

과제정보

연구 과제 주관 기관 : Ministry of Scien ce and Technology in Taiwan

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