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Innovative techniques for the improvement of industrial noise sources identification by beamforming

Articolo
Data di Pubblicazione:
2021
Abstract:
An innovative technique based on beamforming is implemented, at the aim of detecting the distances from the observer and the relative positions among the noise sources themselves in multisource noise scenarios. By means of preliminary activities to assess the optical camera focal length and stereoscopic measurements followed by image processing, the geometric information in the source-microphone direction is retrieved, a parameter generally missed in classic beamforming applications. A corollary of the method consists of the possibility of obtaining also the distance among different noise sources which could bepresent in a multisource environment. A loss of precision is found when the effect of the high acoustic reflectivity ground interferes with the noise source.
Tipologia CRIS:
01.01 Articolo in rivista
Keywords:
beamforming; noise sources; industrial plants
Elenco autori:
D'Alessandro, Francesco
Autori di Ateneo:
D'ALESSANDRO FRANCESCO
Link alla scheda completa:
https://iris.cnr.it/handle/20.500.14243/425464
Pubblicato in:
NOISE MAPPING
Journal
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URL

https://www.degruyter.com/document/doi/10.1515/noise-2021-0010/html
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