Noise source identification in a rotary compressor: A multidisciplinary synergetic approach

Authors
Citation
Hj. Kim et Ym. Cho, Noise source identification in a rotary compressor: A multidisciplinary synergetic approach, J ACOUST SO, 110(2), 2001, pp. 887-893
Citations number
15
Language
INGLESE
art.tipo
Article
Categorie Soggetti
Multidisciplinary,"Optics & Acoustics
Journal title
JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA
ISSN journal
0001-4966 → ACNP
Volume
110
Issue
2
Year of publication
2001
Pages
887 - 893
Database
ISI
SICI code
0001-4966(200108)110:2<887:NSIIAR>2.0.ZU;2-E
Abstract
The complex nature of noise/vibration generation and transmission in rotati ng machinery has made it indispensable to employ various techniques to iden tify the corresponding sources and paths. A theoretical approach via finite -element analysis (FEA), an experimental approach via direct measurement, a nd a signal processing approach via feature extraction of the measured data have all made significant contributions. Yet, there has not been much inte rdisciplinary effort among the three areas although their mutually compleme ntary roles have long been recognized. In this paper, a synergetic approach is proposed to noise/vibration source and transmission path identification in order to take advantage of all the merits of the three different approa ches. The proposed approach is discussed with a rotary compressor as a test bed. In the new approach, the experimentally measured sound intensity map i s initially used to suggest the active radiation area, which guides us to i nstrument the rotary compressor at the suspected noise/vibration source pos itions. The collected data from the compressor is then processed to unravel the candidate source(s). Various signal processing techniques such as filt ering, Hilbert transform, and fast Fourier transform are used to enhance th e desired features buried in the experimental data. Finally, modal analysis via FEA and direct measurement further help to pinpoint the true source(s) and simultaneously verifies the conjecture following the experimental data processing. (C) 2001 Acoustical Society of America.