| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 774274 | Engineering Failure Analysis | 2011 | 11 Pages |
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.
