Abstract
Stereophotogrammetry techniques used in concert with 3D point tracking (dynamic photogrammetry) software are advantageous for the collection of operating data on large wind turbines (or helicopter rotors) over conventional accelerometer-data acquisition systems (DAQ) for several reasons. First, this is a non-contacting technique that doesn’t require the use of mounted accelerometers and electrically noisy slip rings. Second, the optical targets (measurement points) that are mounted to the blade surfaces can remain in place for long periods of time and be used for subsequent measurements without extended/overly complicated setup time. Third, deflection data can be collected on many more points on a turbine/rotor surface beyond what is capable of a conventional multi-channel data acquisition system and accelerometer setup. Operating data has previously been collected on a 1.17 m Southwest Windpower Air BreezeTM wind turbine [1] using Stereophotogrammetry and this data has been used to extract operating deflection shapes from the structure. The purpose of this work is to improve upon the experimental methods used on the 1.17 turbine by Warren [2] and apply these improved methods to a larger, 2.56 m diameter turbine/rotor analog, and collect operating data on the structure. This data was collected outdoors and shape information was extracted from this operating data and compared to that taken with a standard, impact test.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Southwest Windpower (2011) Southwest windpower| air XTM and air breezeTM small wind generators for remote homes, sailboats, offshore platforms and more. http://www.windenergy.com/products/air.htm. Accessed 5 Feb 2011
Warren C (2010) Modal analysis and vibrations applications of stereophotogrammetry techniques. Master’s thesis, University of Massachusetts Lowell
Warren C, Niezrecki C, Avitabile P (2010) Optical non-contacting Vibration measurement of rotating turbine blades II. In: Proceedings of IMAC-XXVII, Orlando
Paulsen US, Erne O, Moeller T, Sanow G, Schmidt T (2009) Wind turbine operational and emergency stop measurements using point tracking videogrammetry. In: Proceedings of the 2009 SEM annual conference and exposition, Albuquerque
Ozbek M, Rixen DJ, Erne O, Sanow G (2010) Feasibility of monitoring large wind turbines using photogrammetry. The 3rd international conference on sustainable energy and environmental protection, SEEP 2009, 35(12):4802–4811
LMS Test.Lab 10A, LMS International, Leuven
Lundstrom T, Niezrecki C, Avitabile P (2011) Appropriate rigid body correction for analyzing the dynamics of rotating structures using 3D digital photogrammetry. In: Proceedings of the 8th international workshop on structural health monitoring, Stanford University, Palo Alto
PONTOSTM/ARAMISTM HighSpeed PHOTRON SA1TM user manual—Mittelweg 7–8, D-38106 Braunschweig, 2008
PONTOSTM v6.2 user manual—Mittelweg 7–8, D-38106 Braunschweig, 2009
LMS Test.Lab desktop manual, LMS International, Leuven
Peeters B, Cornelius B, Janssens K, Vand der Auweraer H (2007) Removing disturbing harmonics in operational modal analysis. In: Proceedings of the IOMAC 2007, Copenhagen
Resor B, Groover C, Trethewey M, Maynard K (2004) Natural frequency identification in torsional vibration with high level order content. In: Proceedings of the IMAC-XXII, Orlando
Acknowledgements
The authors gratefully appreciate the financial support for this work provided by the U.S. Army Research Office Nanomanufacturing of Multifunctional Sensors Ref. Award Number: W911NF-07-2-0081 and the National Science Foundation under Grant No. 0900534, entitled “Dynamic Stress–strain Prediction of Vibrating Structures in Operation”. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the National Science Foundation or Army Research Office.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 The Society for Experimental Mechanics, Inc.
About this paper
Cite this paper
Lundstrom, T., Baqersad, J., Niezrecki, C., Avitabile, P. (2012). Using High-Speed Stereophotogrammetry Techniques to Extract Shape Information from Wind Turbine/Rotor Operating Data. In: Allemang, R., De Clerck, J., Niezrecki, C., Blough, J. (eds) Topics in Modal Analysis II, Volume 6. Conference Proceedings of the Society for Experimental Mechanics Series. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-2419-2_26
Download citation
DOI: https://doi.org/10.1007/978-1-4614-2419-2_26
Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4614-2418-5
Online ISBN: 978-1-4614-2419-2
eBook Packages: EngineeringEngineering (R0)