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2012 | OriginalPaper | Buchkapitel

26. Using High-Speed Stereophotogrammetry Techniques to Extract Shape Information from Wind Turbine/Rotor Operating Data

verfasst von : Troy Lundstrom, Javad Baqersad, Christopher Niezrecki, Peter Avitabile

Erschienen in: Topics in Modal Analysis II, Volume 6

Verlag: Springer New York

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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.

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Literatur
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Metadaten
Titel
Using High-Speed Stereophotogrammetry Techniques to Extract Shape Information from Wind Turbine/Rotor Operating Data
verfasst von
Troy Lundstrom
Javad Baqersad
Christopher Niezrecki
Peter Avitabile
Copyright-Jahr
2012
Verlag
Springer New York
DOI
https://doi.org/10.1007/978-1-4614-2419-2_26

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