基于声阵列技术的柴油机噪声源识别

为了准确识别某柴油机的噪声源,为进一步的低噪声改进指明方向,综合采用Beamforming(波束形成)和SONAH(统计最优近场声全息)2种阵列的声源识别方法对该柴油机噪声辐射最突出的进气侧噪声源进行识别。结果表明:噪声贡献量较大的1650-2200Hz频率范围内对应的噪声源为进气总管、汽缸盖罩,920~1450Hz对应喷油器,而760-776Hz和920-936Hz分别对应油泵传动轴和油泵调速器。进一步的声贡献量分析结果显示:进气总管对该发动机进气侧辐射噪声的声功率贡献量达15.38%,喷油器、油泵调速器声功率贡献度量分别为5.47%和5.11%;汽缸盖罩和油泵传动轴声功率贡献量分别为4.8...

Full description

Saved in:
Bibliographic Details
Published in农业工程学报 Vol. 30; no. 2; pp. 23 - 30
Main Author 褚志刚 蔡鹏飞 蒋忠翰 沈林邦 杨洋
Format Journal Article
LanguageChinese
Published 重庆大学 机械传动国家重点实验室,重庆 400044 2014
重庆大学 机械工程学院,重庆 400044%重庆大学 机械传动国家重点实验室,重庆,400044%重庆工业职业技术学院 车辆工程学院,重庆,401120
Subjects
Online AccessGet full text
ISSN1002-6819
DOI10.3969/j.issn.1002-6819.2014.02.004

Cover

More Information
Summary:为了准确识别某柴油机的噪声源,为进一步的低噪声改进指明方向,综合采用Beamforming(波束形成)和SONAH(统计最优近场声全息)2种阵列的声源识别方法对该柴油机噪声辐射最突出的进气侧噪声源进行识别。结果表明:噪声贡献量较大的1650-2200Hz频率范围内对应的噪声源为进气总管、汽缸盖罩,920~1450Hz对应喷油器,而760-776Hz和920-936Hz分别对应油泵传动轴和油泵调速器。进一步的声贡献量分析结果显示:进气总管对该发动机进气侧辐射噪声的声功率贡献量达15.38%,喷油器、油泵调速器声功率贡献度量分别为5.47%和5.11%;汽缸盖罩和油泵传动轴声功率贡献量分别为4.85%和4.26%。综上,结合Beamforming和SONAH在不同频段内具有高分辨率的优点,可以在宽频带内进行声源识别,且试验实现简单,操作方便。
Bibliography:11-2047/S
Noise source identification is essential for the reduction of engine noises. The medium and high frequency noise sources can be significantly identified by the Beamforming method, but the low frequency noise source identification results are not satisfactory. The statistically optimized near-field acoustical holography (SONAH) method is suitable for low frequency noise source identification; however, the error is large for high frequency noise source identification. In order to identify the noise source of a diesel engine accurately and provide a clear direction for further low noise improvement, the most prominent inlet side noise source of the diesel engine was identified, combining Beamforming and the SONAH sound source identification methods. In the experiment, the distance between the measurement array and the engine surface was 1 m with the Beamforming method, while the SONAH measurement distance was 0.25 m. The sound power spectrum and the sound intensity contour maps were analyzed. The sound
ISSN:1002-6819
DOI:10.3969/j.issn.1002-6819.2014.02.004