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
蒋丹丹 1张道成 1郝春晓 1王佐鹏 1陈醒1
作者信息
- 1. 南京牧镭激光科技股份有限公司,南京 210000,中国
- 折叠
摘要
为了降低雾天风力发电机组叶片信号的虚警率,以激光净空雷达获取的原始信号数据为基础数据源,在信号预处理的基础上,采用时空约束的方法,实现了叶片信号的准确提取;并将集成了该叶片信号提取方法的激光净空雷达在常年有雾的地区进行了挂机试验.结果表明,所提出的叶片信号提取方法取得了较好的效果,叶片虚警率低于 2%,提升了激光净空雷达测距数据的可靠性和环境适应性.该研究为激光净空雷达用于风机净空监测提供了参考.
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引用本文复制引用
出版年
2024
国家科技期刊平台
NSTL
万方数据