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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 국제구조공학회 Smart Structures and Systems, An International Journal Smart Structures and Systems, An International Journal Vol.24 No.5
- 발행연도
- 2019.1
- 수록면
- 649 - 657 (9page)
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초록· 키워드
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Recently, an advanced video deflectometer based on the principle of off-axis digital image correlation was presented and advocated for remote and real-time deflection monitoring of large engineering structures. In engineering practice, measurement accuracy is one of the most important technical indicators of the video deflectometer. However, it has been observed in many outdoor experiments that data drift often presents in the measured deflection-time curves, which is caused by the instability of imaging system and the unavoidable influences of ambient interferences (e.g., ambient light changes, ambient temperature variations as well as ambient vibrations) in non-laboratory conditions. The non-ideal unstable imaging conditions seriously deteriorate the measurement accuracy of the video deflectometer. In this work, to perform high-accuracy deflection monitoring, potential sources for the drift error are analyzed, and a drift error model is established by considering these error sources. Based on this model, a simple, easy-to-implement yet effective reference point compensation method is proposed for real-time removal of the drift error in measured deflections. The practicality and effectiveness of the proposed method are demonstrated by in-situ deflection monitoring of railway and highway bridges.
목차
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참고문헌 (20)
참고문헌 신청
Marcin Adamczyk / 2018 / Temperature Compensation Method for Digital Cameras in 2D and 3D Measurement Applications / Sensors 18(11):3685
Dongming Feng / 2017 / Experimental validation of cost-effective vision-based structural health monitoring / Mechanical Systems and Signal Processing 88:199~211
Handel, H. / 2008 / Compensation of thermal errors in vision based measurement systems using a system identification approach / Int. Conf. Sign. Pro :1329~1333
Holger Handel / 2009 / Analyzing the Influences of Camera Warm-Up Effects on Image Acquisition / IPSJ Transactions on Computer Vision and Applications 1:12~20
Kruth, J. / 2003 / Thermal error analysis and compensation of an LED-CMOS camera 3D measuring system 3(3)
Dongming Feng / 2017 / Experimental validation of cost-effective vision-based structural health monitoring / Mechanical Systems and Signal Processing 88:199~211
Handel, H. / 2008 / Compensation of thermal errors in vision based measurement systems using a system identification approach / Int. Conf. Sign. Pro :1329~1333
Holger Handel / 2009 / Analyzing the Influences of Camera Warm-Up Effects on Image Acquisition / IPSJ Transactions on Computer Vision and Applications 1:12~20
Kruth, J. / 2003 / Thermal error analysis and compensation of an LED-CMOS camera 3D measuring system 3(3)
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