DocumentCode :
2383868
Title :
Automatic wind turbine identification using level-II data
Author :
Cheong, Boon Leng ; Palmer, Robert ; Torres, Sebastian
Author_Institution :
Atmos. Radar Res. Center (ARRC), Univ. of Oklahoma, Norman, OK, USA
fYear :
2011
fDate :
23-27 May 2011
Firstpage :
271
Lastpage :
275
Abstract :
In this work, an automatic wind turbine identification scheme was developed, with a restriction that only Level-II data are available. The motivation is to minimize modification to the existing data processing infrastructure of the WSR-88D. The concept is to process several consecutive scans of images and look for features that move. This was accomplished by processing a set of six running-temporal textures, which are derived from the moment data, to find temporal continuity. A fuzzy logic inference system is used to combine information from the six textures to make a final decision of detection. Preliminary results will be presented to demonstrate the potential of this algorithm.
Keywords :
fuzzy logic; fuzzy reasoning; image motion analysis; image texture; power engineering computing; wind turbines; WSR-88D; automatic wind turbine identification scheme; data processing infrastructure; fuzzy logic inference system; level-II data; running-temporal textures; temporal continuity; Clutter; Correlation; Meteorological radar; Meteorology; Wind farms; Wind turbines;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Radar Conference (RADAR), 2011 IEEE
Conference_Location :
Kansas City, MO
ISSN :
1097-5659
Print_ISBN :
978-1-4244-8901-5
Type :
conf
DOI :
10.1109/RADAR.2011.5960542
Filename :
5960542
Link To Document :
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