Blade signal extraction based on laser clearance LiDAR data
To reduce false alarm rate in foggy conditions for wind turbine blade signals,a method was adopted to accurately extract blades signals by using the raw signal data obtained from laser clearance light detection and ranging(LiDAR)as the primary data source,and incorporating spatiotemporal constraints in signal preprocessing.The laser clearance LiDAR integrated with blade signal extraction method was tested in areas with year-round fog.The experimental results show that blade signal extraction method proposed in this paper has achieved good results,with a false alarm rate of less than 2%,which improves the reliability and environmental adaptability of laser clearance LiDAR ranging data.This study provides a reference for the application of laser clearance LiDAR in wind turbine clearance monitoring.
laser techniquespatiotemporal constraintsfalse alarm rateblade signal extraction
国家科技期刊平台
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