Data analysis method for wind turbine dynamic response testing [electronic resource].

Published: Oak Ridge, Tenn. : Distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy, 1989.
Physical Description: Pages: 6 : digital, PDF file
Additional Creators: United States. Department of Energy. Office of Scientific and Technical Information

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Summary

The Wind Research Branch at the Solar Energy Research Institute (SERI) has developed an efficient data analysis package for personal computer use in response to growing needs of the wind turbine industry and SERI's Cooperative Field Test Program. This new software is used by field test engineers to examine wind turbine performance and loads during testing, as well as by data analysts for detailed post-processing. The Wind Data Analysis Tool Set, WINDATS, has been written as a collection of tools that fall into two general groups. First, the preparatory tools perform subsection, filtering, decimation, preaveraging, scaling, and derivation of new channels. Second, analysis tools are used for mean removal, linear detrending, azimuth averaging and removal, per-rev averaging, binning, and spectral analysis. The input data file can be a standard ASCII file as is generated by most data acquisition software. 9 refs., 10 figs.

Report Numbers

E 1.99:seri/tp-217-3506
E 1.99: conf-890815-8
conf-890815-8
seri/tp-217-3506

Subject(s)

Wind Energy

Other Subject(s)

Note

Published through SciTech Connect.
06/01/1989.
"seri/tp-217-3506"
" conf-890815-8"
"DE89009417"
24. intersociety energy conversion engineering conference, Washington, DC, USA, 7-12 Aug 1989.
Hock, S M; Olsen, T L.
Solar Energy Research Inst., Golden, CO (USA)

Funding Information

AC02-83CH10093

View MARC record | catkey: 14990201