Journal ArticleDOI
Industrial Noise Source Identification by Using an Acoustic Beamforming System
M. R. Bai,J. Lee +1 more
TLDR
In this article, a noise source identification technique is proposed for industrial applications by using a microphone array and beamforming algorithms, both of the directions and the distances of long-range noise sources are calculated.Abstract:
A noise source identification technique is proposed for industrial applications by using a microphone array and beamforming algorithms. Both of the directions and the distances of long-range noise sources are calculated. The conventional method, the minimum variance (MV) method, and the multiple signal classification (MUSIC) method are the main beamforming algorithms employed in this study. The results of numerical simulations and field tests indicate the effectiveness of the acoustic beamformer in identifying noise sources in industrial environments.read more
Citations
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Journal ArticleDOI
Source identification system based on the time-domain nearfield equivalence source imaging: Fundamental theory and implementation
Mingsian R. Bai,Jia-Hong Lin +1 more
TL;DR: In this paper, a nearfield equivalence source imaging (NESI) technique is proposed to identify locations and strengths of noise sources, which is based on the time-domain formulation that applies not only to stationary but also a transient noise.
Journal ArticleDOI
Optimized microphone deployment for near-field acoustic holography: To be, or not to be random, that is the question
TL;DR: In this article, numerical simulations are undertaken to optimize the microphone deployment for both far-field and near-field arrays with the latter being the main focus, and the simulation results suggest that the optimal near field array is the uniform rectangular array (URA) and the random deployment presents no particular benefit in near field imaging.
Journal ArticleDOI
Diesel engine noise source identification based on EEMD, coherent power spectrum analysis and improved AHP
TL;DR: An integrated noise source identification method based on the ensemble empirical mode decomposition (EEMD), the coherent power spectrum analysis, and the improved analytic hierarchy process (AHP) is presented.
Journal ArticleDOI
Data processing and augmentation of acoustic array signals for fault detection with machine learning
L.A.L. Janssen,I. Lopez Arteaga +1 more
TL;DR: The proposed data processing methods are able to determine the position of the disturbance mass even with low amounts of training data and show to be promising for applications where space-frequency information is of essence.
Journal ArticleDOI
Three-dimensional localization of point acoustic sources using a planar microphone array combined with beamforming.
TL;DR: A beamforming-based acoustic imaging method employing a two-dimensional microphone array that not only can locate an acoustic source in the XY plane parallel to the array, but can also identify the distance between the source and array in the Z direction, denoted as the source depth, and thus provides three-dimensional (3D) localization ability.
References
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