کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
774274 | 898157 | 2011 | 11 صفحه PDF | دانلود رایگان |
Noise source visualisation represents an important tool for technical acoustics. Many techniques of noise source visualisation have been developed, based on a specific noise source in a specific type of acoustic environment. A new visualisation method of complex noise sources is presented, using an acoustic camera and a new algorithm. Different transient acoustical phenomena can be noted. Additionally, a new family of biorthogonal wavelets is applied to determine fault in gears. The new wavelets are a generalisation of biorthogonal wavelet systems. Smoothness is controlled independently in the analysis. For the optimisation of the synthesis bank, discrete finite variation is used. Differentiability is measured, for which a large number of vanishing wavelet moments is necessary, in favour of a smoothness measure based on the fact that a finite depth of the filter bank tree is in most case related to practical applications.
► Noise source visualisation represents an advanced tool for diagnostics.
► Visualisation method of noise sources is based on acoustic camera and new wavelets.
► New family of biorthogonal wavelets is used for fault determination in gears.
► Wavelets are a generalisation of biorthogonal wavelet systems.
► Discrete finite variation optimises synthesis bank for wavelets.
Journal: Engineering Failure Analysis - Volume 18, Issue 7, October 2011, Pages 1831–1841