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dc.contributor.authorBai, MRen_US
dc.contributor.authorLee, Jen_US
dc.date.accessioned2014-12-08T15:49:14Z-
dc.date.available2014-12-08T15:49:14Z-
dc.date.issued1998-04-01en_US
dc.identifier.issn1048-9002en_US
dc.identifier.urihttp://hdl.handle.net/11536/32717-
dc.description.abstractA 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.isoen_USen_US
dc.titleIndustrial noise source identification by using an acoustic beamforming systemen_US
dc.typeArticleen_US
dc.identifier.journalJOURNAL OF VIBRATION AND ACOUSTICS-TRANSACTIONS OF THE ASMEen_US
dc.citation.volume120en_US
dc.citation.issue2en_US
dc.citation.spage426en_US
dc.citation.epage433en_US
dc.contributor.department機械工程學系zh_TW
dc.contributor.departmentDepartment of Mechanical Engineeringen_US
dc.identifier.wosnumberWOS:000073499800015-
dc.citation.woscount5-
Appears in Collections:Articles


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