Determination of three-dimensional movement for rotary blades using digital image correlation

Abstract Non-contact and accurate motion measurement of the rotary objects is crucial in engineering applications. A modified Newton–Raphson algorithm, which is capable of positioning marks with large rotation, has been proposed. A stereo imaging system with a pair of synchronized digital high-speed cameras was developed and achieved full-field displacement measurement based on 3D image correlation photogrammetry for rotary objects. This system has been applied to measuring the 3D motion of a wind turbine blade model. The displacement components of the rotary blade were presented, and the corresponding frequency spectra were investigated. The experimental results demonstrated that the proposed system could measure the 3D motion of rotary blades precisely, and it also provided an alternative potential non-contact diagnosis means for large wind turbine blades.

[1]  Nam Seo Goo,et al.  Modal analysis of an artificial wing mimicking an Allomyrina dichotoma beetle's hind wing for flapping-wing micro air vehicles by noncontact measurement techniques , 2013 .

[2]  Katerina Krebber,et al.  Fiber Bragg grating sensors for monitoring of wind turbine blades , 2005, International Conference on Optical Fibre Sensors.

[3]  Zhengyou Zhang,et al.  A Flexible New Technique for Camera Calibration , 2000, IEEE Trans. Pattern Anal. Mach. Intell..

[4]  Dwayne Arola,et al.  Methods for Examining the Fatigue and Fracture Behavior of Hard Tissues , 2007 .

[5]  Anindya Ghoshal,et al.  Structural health monitoring techniques for wind turbine blades , 2000 .

[6]  Vasilis Fthenakis,et al.  Land use and electricity generation: A life-cycle analysis , 2009 .

[7]  Xu Chen,et al.  Full-field 3D measurement using multi-camera digital image correlation system , 2013 .

[8]  Carles Cané,et al.  Measurement of residual stresses in micromachined structures in a microregion , 2006 .

[9]  K. B. Atkinson Introduction to Modern Photogrammetry. , 2003 .

[10]  H. Lu,et al.  Deformation measurements by digital image correlation: Implementation of a second-order displacement gradient , 2000 .

[11]  A. Rama Rao,et al.  In Situ Detection of Turbine Blade Vibration and Prevention , 2012, Journal of Failure Analysis and Prevention.

[12]  Wolfgang Ecke,et al.  A fibre Bragg grating sensor system monitors operational load in a wind turbine rotor blade , 2006 .

[13]  Christopher A. Walford,et al.  Wind Turbine Reliability: Understanding and Minimizing Wind Turbine Operation and Maintenance Costs , 2006 .

[14]  Morten Hartvig Hansen,et al.  Aeroelastic instability problems for wind turbines , 2007 .

[15]  Tiejun Wang,et al.  Large tensile deformation behavior of PC/ABS alloy , 2006 .

[16]  Xiaoqi Li,et al.  A novel coarse-fine search scheme for digital image correlation method , 2006 .

[17]  Chen Sun,et al.  Adaptive subset offset for systematic error reduction in incremental digital image correlation , 2014 .

[18]  M. A. Sutton,et al.  Nanoscale deformation and cracking studies of advanced metal evaporated magnetic tapes using atomic force microscopy and digital image correlation techniques , 2006 .

[19]  Jung-Ryul Lee,et al.  Feasibility of in situ blade deflection monitoring of a wind turbine using a laser displacement sensor within the tower , 2013 .

[20]  X. Yao,et al.  Full-field deformation measurement of fiber composite pressure vessel using digital speckle correlation method , 2005 .

[21]  Yan Qiu Chen,et al.  Large deformation measurement using digital image correlation: a fully automated approach. , 2012, Applied optics.

[22]  John Tyson,et al.  Pull-field dynamic displacement and strain measurement using advanced 3D image correlation photogrammetry: Part 1 , 2003 .

[23]  Jiaqing Zhao,et al.  Initial guess by improved population-based intelligent algorithms for large inter-frame deformation measurement using digital image correlation , 2012 .

[24]  M. Murai,et al.  A study on an experiment of behavior of a SPAR type offshore wind turbine considering rotation of wind turbine blades , 2010, OCEANS'10 IEEE SYDNEY.