激光技术2024，Vol.48Issue(5)：637-642,6.DOI:10.7510/jgjs.issn.1001-3806.2024.05.004
基于激光净空雷达数据的叶片信号提取
Blade signal extraction based on laser clearance LiDAR data
摘要
Abstract
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.关键词
激光技术/时空约束/虚警率/叶片信号提取Key words
laser technique/spatiotemporal constraints/false alarm rate/blade signal extraction分类
电子信息工程引用本文复制引用
蒋丹丹,张道成,郝春晓,王佐鹏,陈醒..基于激光净空雷达数据的叶片信号提取[J].激光技术,2024,48(5):637-642,6.基金项目
江苏省科技厅项目(BE2022009) （BE2022009）
