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Study on the Way of Tracking the Rotating Point Noise Source Identification Based on Beamforming
Author(s) -
Chao Yang,
Zhiying Gao,
Jianwen Wang,
Fei Guan
Publication year - 2017
Publication title -
destech transactions on engineering and technology research
Language(s) - English
Resource type - Journals
ISSN - 2475-885X
DOI - 10.12783/dtetr/mcee2016/6437
Subject(s) - beamforming , identification (biology) , tracking (education) , noise (video) , point (geometry) , computer science , acoustics , physics , artificial intelligence , telecommunications , mathematics , psychology , geometry , pedagogy , botany , image (mathematics) , biology
For the problem of rotating noise source identification, the paper will propose a new beamforming algorithm which includes reasonable filter and rotating angle. The method studies on rotating point source and is based on assumption of the discretization of rotating and steady sound field. The advantage of the algorithm will have a high resolution, fast calculation, well tracking noise source location and so on. Compared to the result of cross-spectral beamforming algorithm software, it can find that the algorithm can obviously enhance resolution and be able to find rotating noise source location at any time. Effectiveness and truth of the new algorithm can be verified by practical example. It can be an accurate method to obtain the rotating impeller noise source information.

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