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RESEARCH PAPERS

Industrial Noise Source Identification by Using an Acoustic Beamforming System

[+] Author and Article Information
M. R. Bai, J. Lee

Department of Mechanical Engineering, Chiao-Tung University, 1001 Ta-Hsueh Rd., Hsin-Chu, Taiwan, Republic of China

J. Vib. Acoust 120(2), 426-433 (Apr 01, 1998) (8 pages) doi:10.1115/1.2893847 History: Received April 01, 1995; Online February 26, 2008

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 beam-former in identifying noise sources in industrial environments.

Copyright © 1998 by The American Society of Mechanical Engineers
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