Data Analysis Method for Wind Turbine Dynamic Response Testing

doi:10.1109/IECEC.1989.74752

Data Analysis Method for Wind Turbine Dynamic Response Testing

Research output: NREL › Technical Report

Abstract

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 1 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 fordetailed 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.

Original language	American English
Number of pages	8
DOIs	https://doi.org/10.1109/IECEC.1989.74752
State	Published - 1989

Bibliographical note

Prepared for the 24th Intersociety Energy Conversion Engineering Conference, Washington, D. C., 6-11 August 1989

NREL Publication Number

NREL/TP-217-3506

Keywords

ASCII
Wind Data Analysis Tool Set
wind turbines
WINDATS

Access to Document

10.1109/IECEC.1989.74752

https://www.nrel.gov/docs/legosti/old/3506.pdf

Cite this

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title = "Data Analysis Method for Wind Turbine Dynamic Response Testing",

abstract = "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 1 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 fordetailed 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.",

keywords = "ASCII, Wind Data Analysis Tool Set, wind turbines, WINDATS",

author = "NREL",

note = "Prepared for the 24th Intersociety Energy Conversion Engineering Conference, Washington, D. C., 6-11 August 1989",

year = "1989",

doi = "10.1109/IECEC.1989.74752",

language = "American English",

type = "Other",

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AU - NREL, null

N1 - Prepared for the 24th Intersociety Energy Conversion Engineering Conference, Washington, D. C., 6-11 August 1989

PY - 1989

Y1 - 1989

N2 - 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 1 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 fordetailed 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.

AB - 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 1 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 fordetailed 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.

KW - ASCII

KW - Wind Data Analysis Tool Set

KW - wind turbines

KW - WINDATS

U2 - 10.1109/IECEC.1989.74752

DO - 10.1109/IECEC.1989.74752

M3 - Technical Report

ER -

Data Analysis Method for Wind Turbine Dynamic Response Testing

Abstract

Bibliographical note

NREL Publication Number

Keywords

Access to Document

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Cite this