Delay-and-sum (DAS) planar beamforming has been a widely used noise-source identification technique for the last decade. It is a quick one-shot measurement technique to map sources that are larger than the array itself. The spatial resolution is proportional to distance between array and source and inversely proportional to wavelength, so the resolution is only good at medium to high frequencies. This article illustrates how additional de-convolution algorithms can be applied to traditional delay-and-sum measurements and calculations for noise source identification. This means users can add these algorithms to their existing measurements. The algorithms are efficient and fast FFT-based NNLS (non-negative least squares) and DAMAS2 (de-convolution approach for mapping acoustic sources, Version 2). These improved algorithms using iterative deconvolution techniques offer up to 10 times better resolution. The principle behind these techniques has been described along with measurement examples from the automotive, wind turbine and aerospace industries. The techniques provide considerable improvements in both spatial resolution and in suppression of side lobe effects.
Noise source identification with increased spatial resolution
Sound and Vibration ; 47 , 4 ; 9-13
2013
5 Seiten, 13 Bilder, 6 Quellen
Article (Journal)
English
Noise Source Identification with Increased Spatial Resolution used in Automotive Industry
British Library Conference Proceedings | 2012
|In-duct identification of fluid-borne source with high spatial resolution
Online Contents | 2014
|In-duct identification of a rotating sound source with high spatial resolution
Online Contents | 2015
|Slat Noise Source Identification
AIAA | 2009
|Noise Source Identification Techniques Comparison
SAE Technical Papers | 2008
|