Industrial noise source identification by using an acoustic beamforming system

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DC 欄位	值	語言
dc.contributor.author	Bai, MR	en_US
dc.contributor.author	Lee, J	en_US
dc.date.accessioned	2014-12-08T15:49:14Z	-
dc.date.available	2014-12-08T15:49:14Z	-
dc.date.issued	1998-04-01	en_US
dc.identifier.issn	1048-9002	en_US
dc.identifier.uri	http://hdl.handle.net/11536/32717	-
dc.description.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.	en_US
dc.language.iso	en_US	en_US
dc.title	Industrial noise source identification by using an acoustic beamforming system	en_US
dc.type	Article	en_US
dc.identifier.journal	JOURNAL OF VIBRATION AND ACOUSTICS-TRANSACTIONS OF THE ASME	en_US
dc.citation.volume	120	en_US
dc.citation.issue	2	en_US
dc.citation.spage	426	en_US
dc.citation.epage	433	en_US
dc.contributor.department	機械工程學系	zh_TW
dc.contributor.department	Department of Mechanical Engineering	en_US
dc.identifier.wosnumber	WOS:000073499800015	-
dc.citation.woscount	5	-
顯示於類別：	期刊論文

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