DocumentCode
3136619
Title
Prediction of mechanical noise by field-matching wave superposition method with boundaries
Author
Chen, Hongyang ; Li, Qi ; Shang, Dejiang ; Liu, Yongwei
Author_Institution
Coll. of Underwater Acoust. Eng., Harbin Eng. Univ., Harbin, China
fYear
2012
fDate
5-8 Aug. 2012
Firstpage
2187
Lastpage
2191
Abstract
Based on wave superposition method (WSM), radiated noise can be predicted quickly by monitoring the vibration data on machine surface. However, this method may produce great error for complex vibration distribution. The main cause is the improper configuration of equivalent sources. In order to solve this problem, an equivalent source configuration based on the least mean square method (LMS) is put forward for typical structure in this paper, in which a few reference points of sound field pressure should be measured ahead to search the optimal equivalent source position automatically. Since the structure has been equivalent to an array of monopole sources by WSM, the prediction for mechanical noise with boundaries can be realized by changing Green function. The result shows that the radiated noise of structure, for different excitations, can be predicted precisely from the surface velocity by WSM once the optimal equivalent source position is determined by LMS using the reference points of sound pressure field.
Keywords
Green´s function methods; acoustic noise; least mean squares methods; pressure measurement; vibrations; Green function; automatic optimal equivalent source position search; complex vibration distribution; equivalent source configuration; field-matching wave superposition method; least mean square method; machine surface; mechanical noise prediction; monopole sources; radiated noise prediction; sound field pressure measurement; surface velocity; vibration data monitoring; Acoustic waveguides; Educational institutions; Green function; Noise; Prediction algorithms; Vibrations; Field-Matching; Mechanical Noise; Prediction; WSM;
fLanguage
English
Publisher
ieee
Conference_Titel
Mechatronics and Automation (ICMA), 2012 International Conference on
Conference_Location
Chengdu
Print_ISBN
978-1-4673-1275-2
Type
conf
DOI
10.1109/ICMA.2012.6285682
Filename
6285682
Link To Document