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Using edge-detector to model wake effects on wind turbines
2014
2014 International Conference on Prognostics and Health Management
Wind turbine wakes cause power reduction and structural loading. A data-driven approach is proposed for wake modeling to provide the azimuth, angular spread, and intensity of wakes. We introduce three wind speed difference definitions for wake analysis. The wake identification is automated using morphological imaging operators. The wake pattern is complicated by multiple neighboring turbines. Four fusion schemes are proposed to draw a complete picture. A similarity based clustering enhances the
doi:10.1109/icphm.2014.7036381
fatcat:msl4h4je65ewbks6iklsmgofv4