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计量学报  2024, Vol. 45 Issue (12): 1841-1848    DOI: 10.3969/j.issn.1000-1158.2024.12.13
  声学计量 本期目录 | 过刊浏览 | 高级检索 |
基于希尔伯特-黄变换的2.2MW风力发电机噪声特征研究
何杰1,张世玮1,孙兵川1,薛明华2,苏明旭1
1.上海理工大学能源与动力工程学院,上海200093
2.上海明华电力科技有限公司,上海200090
Noise Characteristic Study of 2.2 MW Large Wind Turbine Based on Hilbert-Huang Transform
HE Jie1,ZHANG Shiwei1,SUN Bingchuan1,XUE Minghua2,SU Mingxu1
1. School of Energy and Power Engineering, University of Shanghai for Science and Technology,  Shanghai 200093, China
2. Shanghai Minghua Electric Power Technology Co.Ltd, Shanghai 200090, China
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摘要 在某大型风电场2.2MW水平轴风力发电机周围,上下风向及60°夹角处布置了6个测点,实验测量风力机气动噪声,经1/3倍频分析获得了6.55~15.00m/s风速条件测点总声压级变化关系。在此基础上,运用经验模态分解(EMD)和希尔伯特-黄变换(HHT)方法,结合边际谱分析获取了关键的风力机噪声时频变化特征。结果表明:与标准测点对比,同向60°测点的总声压级非常接近,风力机上风向4#测点噪声水平偏低;通过EMD得出的方差贡献率和相关系数均表明:噪声主要能量集中在770~1120Hz频段;边际谱的主频与其对应风速间存在较好的3次方拟合关系。
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何杰
张世玮
孙兵川
薛明华
苏明旭
关键词 声学计量风力发电机噪声测试信号处理希尔伯特-黄变换    
Abstract:To measure the aerodynamic noise of a 2.2 MW horizontal-axis wind turbine,six measurement points were set up in a large wind farm.The points were placed in the upwind,downwind,and at a 60° angle around the turbine.The trends of total sound pressure level(TSPL) of measurement points were obtained by 1/3 octave analysis under the wind speeds ranging from 6.55~15.00m/s.On the basis,the empirical modal decomposition(EMD) and Hilbert-Huang transform(HHT),combined with the marginal spectra,were applied to obtain the key time-frequency characteristics of wind turbine noise.The results showed that the total sound pressure levels at the 60° measurement points are similar to those of the standard measurement points in the same direction.However,the noise level at measurement point 4#,located upwind of the wind turbine,is relatively lower.The variance contribution ratio and correlation coefficient derived from the EMD reveal that the primary energy of the noise is concentrated in the frequency band of 770~1120Hz.The principal frequency of the fitted marginal spectrum is in good agreement with the cubic relationship of the corresponding wind speed.
Key wordsacoustic metrology    wind turbines    noise testing    signal processing    HHT
收稿日期: 2023-12-11      发布日期: 2024-12-18
PACS:  TB95  
基金资助:国家自然科学基金(52376162);上海明华电力科技有限公司科技项目(330025FW202300366)
通讯作者: 苏明旭(1973-),男,贵州遵义人,上海理工大学教授,主要从事光散射和超声法颗粒两相流测量理论及技术研究。Email: sumx@usst.edu.cn     E-mail: sumxmail@163.com
作者简介: 何杰(1999-),女,江苏盐城人,上海理工大学硕士研究生,主要研究方向为声学测试分析。Email: hejie9912@163.com
引用本文:   
何杰,张世玮,孙兵川,薛明华,苏明旭. 基于希尔伯特-黄变换的2.2MW风力发电机噪声特征研究[J]. 计量学报, 2024, 45(12): 1841-1848.
HE Jie,ZHANG Shiwei,SUN Bingchuan,XUE Minghua,SU Mingxu. Noise Characteristic Study of 2.2 MW Large Wind Turbine Based on Hilbert-Huang Transform. Acta Metrologica Sinica, 2024, 45(12): 1841-1848.
链接本文:  
http://jlxb.china-csm.org:81/Jwk_jlxb/CN/10.3969/j.issn.1000-1158.2024.12.13     或     http://jlxb.china-csm.org:81/Jwk_jlxb/CN/Y2024/V45/I12/1841
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