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Apply Near-Field Acoustic Holography to Identify the Noise Source of Pass-by Vehicles

  • Lingzhi Li
  • Jun Li
  • Bingwu Lu
  • Yinjie Liu
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 201)

Abstract

When using Near-field Acoustic Holography (NAH) to identify the noise source of a pass-by vehicle in a test—room, the hologram aperture must be at least as large as the source aperture, requiring a large element array. The reconstruction of NAH is an ill-posed inversion problem that requires a regularization procedure. The commonly used Tikhonov regularization procedures require a significant amount of computing time for a large hologram array. In this work, a fast and robust regularization procedure is developed for NAH on the basis of a statistical energy constraint equation (SECE) that links the hologram and the reconstruction sound pressures. This procedure is able to identify the optimal cutoff wave number for an existing exponential filter in a single measurement event without a prior knowledge of the noise. It is tested via numerical simulation for an exponential filter function in an NAH at various sound frequencies, hologram distances and signal-to-noise ratios (SNR). The SECE procedure is applied to identify the noise source on the right side of a vehicle in a semi-anechoic chamber. The results are compared with those obtained with the Far-field filter, generalized cross validation (GCV), L-curve and the Morozov discrepancy principle (MDP) methods.

Keywords

Pass-by noise Noise source identification Near-field acoustic holography Error analysis Regularization procedure 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Lingzhi Li
    • 1
    • 2
  • Jun Li
    • 1
    • 2
  • Bingwu Lu
    • 1
    • 2
  • Yinjie Liu
    • 1
    • 2
  1. 1.State Key Laboratory of Comprehensive Technology on Automobile Vibration and Noise and Safety ControlMainlandChina
  2. 2.China FAW Co., Ltd. R & D CenterMainlandChina

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