The possibility of application of B-spline family wavelets in diagnostic signal processing

Nowadays, wavelets are widely used in many applications, e.g. signal processing. The application of wavelet transform allows to obtain considerably more information about technical state of machine (especially for non-stationary signals) than traditional methods, e.g. Fourier transform. The aim of the paper is to analyze the goodness of B-spline family wavelets in diagnostic signal processing. Three types of B-spline wavelets were investigated. Their applicability was verified using degree of scalogram density on synthetic and operational signals. Results of the analysis of B-spline family wavelets show that proposed approach gives more accurate results in comparison with other chosen wavelets and can be applied in industrial diagnostics.