| contributor author | M. R. Bai | |
| contributor author | J. Lee | |
| date accessioned | 2017-05-08T23:58:26Z | |
| date available | 2017-05-08T23:58:26Z | |
| date copyright | April, 1998 | |
| date issued | 1998 | |
| identifier issn | 1048-9002 | |
| identifier other | JVACEK-28843#426_1.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl/handle/yetl/121453 | |
| 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 beam-former in identifying noise sources in industrial environments. | |
| publisher | The American Society of Mechanical Engineers (ASME) | |
| title | Industrial Noise Source Identification by Using an Acoustic Beamforming System | |
| type | Journal Paper | |
| journal volume | 120 | |
| journal issue | 2 | |
| journal title | Journal of Vibration and Acoustics | |
| identifier doi | 10.1115/1.2893847 | |
| journal fristpage | 426 | |
| journal lastpage | 433 | |
| identifier eissn | 1528-8927 | |
| keywords | Industrial noise | |
| keywords | Acoustics | |
| keywords | Noise (Sound) | |
| keywords | Algorithms | |
| keywords | Microphone arrays | |
| keywords | Signals AND Computer simulation | |
| tree | Journal of Vibration and Acoustics:;1998:;volume( 120 ):;issue: 002 | |
| contenttype | Fulltext | |
