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Integrated use of Noise Source Identification Techniques during Vehicle Development

机译:噪声源识别技术的综合使用在车辆开发过程中

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Currently, acoustic holography and beamforming are consolidated Noise Source Identification (NSI) techniques with expanding applications. These two microphone array based techniques can provide detailed sound field visualization. Even in enclosed space, such as a vehicle cabin, the sound field can be visualized using Spherical Harmonics Beamforming (SHB). Also, sound radiation from geometrically complex surfaces can be captured with conformal mapping using Statistically Optimized Near-field Acoustic Holography (SONAH). In this paper, an integrated approach using both techniques is presented as a manner to improve sound insulation during a vehicle development. Both vehicle and component level measurements are employed in order to identify the dominant sound transmission paths and add the appropriate acoustic treatments. It is shown that spherical beamforming and conformal mapping are powerful tools which expedite troubleshooting and allow vehicle acoustic content optimization.
机译:目前,声学全息和波束成形是具有扩展应用的综合噪声源识别(NSI)技术。这两个基于麦克风阵列的技术可以提供详细的声场可视化。即使在封闭的空间,例如车厢,声场也可以使用球形谐波波束形成(SHB)可视化。此外,可以使用统计上优化的近场声学全息(Sonah)来捕获来自几何复杂表面的声辐射。在本文中,使用两种技术的综合方法作为改善车辆发展期间改善隔音的方式。采用车辆和组件级测量来识别主导声音传输路径并添加适当的声学处理。结果表明,球形波束形成和保形映射是强大的工具,该工具加快了故障排除并允许车辆声学内容优化。

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