摘要
风电场低频噪声具有传播距离远、穿透能力强等特点,严重影响周边环境。通过构建基于独立成分分析的噪声溯源方法,实现对多声源的精确识别与贡献量排序。在此基础上,设计针对特征频率的自适应有源噪声控制系统,并提出“主动-被动”混合降噪优化策略。实验验证表明,该方案可使受声点总声压级降低7.8 dBA,为风电场降噪提供了高效解决方案。
The low-frequency noise of wind farm has the characteristics of long propagation distance and strong penetration ability,which seriously affects the surrounding environment.By constructing a noise traceability method based on independent component analysis,the accurate identification and contribution ranking of multiple sound sources are realized.On this basis,an adaptive active noise control system for characteristic frequency is designed,and an"active-passive"hybrid noise reduction optimization strategy is proposed.The experimental results show that the scheme can reduce the total sound pressure level of the sound receiving point by 7.8 dBA,which provides an efficient solution for noise reduction of wind farm.
作者
罗正涛
LUO Zhengtao(Goldwind Technology Co.,Ltd.,Beijing 100176,China)
出处
《电声技术》
2025年第10期72-74,共3页
Audio Engineering
关键词
低频噪声
盲源分离
混合降噪
low-frequency noise
blind source separation
hybrid noise control
