Analyzing motorcycle low-frequency noise

IF 1.3 3区 物理与天体物理 Q3 ACOUSTICS
Yazhong Lu, Lingguang Chen, Sean F. Wu, Jingyan Hu, Huijun Li
{"title":"Analyzing motorcycle low-frequency noise","authors":"Yazhong Lu, Lingguang Chen, Sean F. Wu, Jingyan Hu, Huijun Li","doi":"10.1142/s2591728522500050","DOIUrl":null,"url":null,"abstract":"This paper presents analyses of the 3D acoustic fields generated by motorcycles at very low frequencies (<inline-formula><mml:math display=\"inline\" overflow=\"scroll\"> <mml:mo>&lt;</mml:mo> <mml:mn>1</mml:mn><mml:mn>5</mml:mn><mml:mn>0</mml:mn></mml:math></inline-formula> Hz) at the idle speed and during sudden acceleration. Diagnosis and analyses of sound sources at low frequencies have always been a significant challenge because the directivity of low-frequency sound is very poor. To date, there are no research papers and/or reports that have demonstrated low-frequency sources localization and radiation patterns of any kind at high spatial resolution in 3D space. This study shows that by using sound viewer technologies, which include the passive sonic detection and ranging (SODAR), the Helmholtz equation least squares (HELS) method, advanced signal processing, denoising, etc., the locations of sound sources and visualization of the sound fields can be determined with high spatial resolution, even at frequencies below 150 Hz. In particular, the HELS method allows for reconstructing all the acoustic quantities, including the acoustic pressure, time-averaged acoustic intensity, time-averaged acoustic power on the source surfaces and in 3D space. The hardware needed consists of a 3D array with six free-field precision microphones with pre-amplifiers, a miniature wide-angle camera, an eight-channel digital signal processor and a laptop computer.","PeriodicalId":55976,"journal":{"name":"Journal of Theoretical and Computational Acoustics","volume":"26 7","pages":""},"PeriodicalIF":1.3000,"publicationDate":"2022-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Theoretical and Computational Acoustics","FirstCategoryId":"101","ListUrlMain":"https://doi.org/10.1142/s2591728522500050","RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ACOUSTICS","Score":null,"Total":0}
引用次数: 0

Abstract

This paper presents analyses of the 3D acoustic fields generated by motorcycles at very low frequencies ( < 150 Hz) at the idle speed and during sudden acceleration. Diagnosis and analyses of sound sources at low frequencies have always been a significant challenge because the directivity of low-frequency sound is very poor. To date, there are no research papers and/or reports that have demonstrated low-frequency sources localization and radiation patterns of any kind at high spatial resolution in 3D space. This study shows that by using sound viewer technologies, which include the passive sonic detection and ranging (SODAR), the Helmholtz equation least squares (HELS) method, advanced signal processing, denoising, etc., the locations of sound sources and visualization of the sound fields can be determined with high spatial resolution, even at frequencies below 150 Hz. In particular, the HELS method allows for reconstructing all the acoustic quantities, including the acoustic pressure, time-averaged acoustic intensity, time-averaged acoustic power on the source surfaces and in 3D space. The hardware needed consists of a 3D array with six free-field precision microphones with pre-amplifiers, a miniature wide-angle camera, an eight-channel digital signal processor and a laptop computer.
摩托车低频噪声分析
本文分析了摩托车在极低频(<150赫兹)在怠速和突然加速时。低频声源的诊断和分析一直是一项重大挑战,因为低频声源的指向性非常差。到目前为止,还没有研究论文和/或报告证明了在3D空间中高空间分辨率的低频源定位和任何类型的辐射模式。该研究表明,通过使用声音观察技术,包括被动声波探测和测距(SODAR)、亥姆霍兹方程最小二乘(HELS)方法、先进的信号处理、去噪等,即使在低于150 Hz的频率下,也可以以高空间分辨率确定声源的位置和声场的可视化。特别是,HELS方法可以重建所有的声量,包括声压、时间平均声强、声源表面和三维空间的时间平均声功率。所需的硬件包括一个由六个带前置放大器的自由场精密麦克风组成的3D阵列、一个微型广角相机、一个八通道数字信号处理器和一台笔记本电脑。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Journal of Theoretical and Computational Acoustics
Journal of Theoretical and Computational Acoustics Computer Science-Computer Science Applications
CiteScore
2.90
自引率
42.10%
发文量
26
期刊介绍: The aim of this journal is to provide an international forum for the dissemination of the state-of-the-art information in the field of Computational Acoustics. Topics covered by this journal include research and tutorial contributions in OCEAN ACOUSTICS (a subject of active research in relation with sonar detection and the design of noiseless ships), SEISMO-ACOUSTICS (of concern to earthquake science and engineering, and also to those doing underground prospection like searching for petroleum), AEROACOUSTICS (which includes the analysis of noise created by aircraft), COMPUTATIONAL METHODS, and SUPERCOMPUTING. In addition to the traditional issues and problems in computational methods, the journal also considers theoretical research acoustics papers which lead to large-scale scientific computations.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信