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Acoustic Source Localization based on Pressure and Particle Velocity Measurements

机译:基于压力和粒子速度测量的声源定位

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摘要

Inverse source identification techniques are used to find the acoustic sources on the surface of a sound radiating object. One of the most general applicable methods is the inverse frequency response function method (IFRF). The standard IFRF technique uses acoustic pressure measurements performed on a measurement grid in the nearfield of an acoustic source to determine the corresponding normal velocities on the surface of the source. To relate the measured fieldudpressures to the surface vibrations, a transfer matrix is calculated with a boundary element solver (BEMSYS). In the source localization process, this matrix needs to be inverted in order to predict the original surface normal velocities. Generally, the transfer matrix is ill-conditioned and can only be solved by applying regularization techniques. In this paper, apart from conventional pressure measurements, it is investigated whether the nearfield particle velocities, measured with a Microflown sensor, can be used to reconstruct the original source vibrations. By means of an experimental setup, a comparison is made between pressure based and velocity based IFRF.
机译:逆声源识别技术用于在声音辐射物体的表面上找到声源。最通用的方法之一是逆频率响应函数方法(IFRF)。标准IFRF技术使用在声源近场中的测量网格上执行的声压测量来确定声源表面上的相应法向速度。为了将测得的场超压与表面振动相关联,使用边界元求解器(BEMSYS)计算了传递矩阵。在源定位过程中,此矩阵需要反转以预测原始表面法向速度。通常,传递矩阵是病态的,只能通过应用正则化技术来解决。在本文中,除了常规的压力测量外,还研究了用Microflown传感器测量的近场粒子速度是否可用于重建原始震源。通过实验设置,比较了基于压力的IFRF和基于速度的IFRF。

著录项

  • 作者

    Visser Rene;

  • 作者单位
  • 年度 2003
  • 总页数
  • 原文格式 PDF
  • 正文语种 {"code":"en","name":"English","id":9}
  • 中图分类

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