Prethodno priopćenje

https://doi.org/10.17559/TV-20140124110406

Defining the criteria to select the wavelet type for the assessment of surface quality

Krzysztof Stępień orcid.org/0000-0002-4955-5344 ; Kielce University of Technology, Faculty of Mechatronics and Machine Design, al. Tysiąclecia Państwa Polskiego 7, 25-314 Kielce, Poland
Wlodzimierz Makiela ; Kielce University of Technology, Faculty of Mechatronics and Machine Design, al. Tysiąclecia Państwa Polskiego 7, 25-314 Kielce, Poland
Antun Stoić ; J. J. Strossmayer University of Osijek, Mechanical Engineering Faculty in Slavonski Brod, Trg I. B. Mažuranić 2, 35 000 Slavonski Brod, Croatia
Ivan Samardžić ; J. J. Strossmayer University of Osijek, Mechanical Engineering Faculty in Slavonski Brod, Trg I. B. Mažuranić 2, 35 000 Slavonski Brod, Croatia

Sažetak

The paper deals with one of the most important problems in the wavelet analysis – the methodology for mother wavelet selection. In this study, the surface texture of machine parts was assessed applying a wavelet transform. The calculations involved in roughness profile evaluation were based on three selection criteria: an autocorrelation test, a cross-correlation function and an entropy-based test. All the calculations and diagrams were produced using the Wavelet toolbox of the MATLAB package.

Ključne riječi

mother wavelet; surface roughness; surface texture; wavelet transform

Hrčak ID:

139764

URI

https://hrcak.srce.hr/139764

Datum izdavanja:

15.6.2015.

Podaci na drugim jezicima: hrvatski

Posjeta: 1.764 *