TY  - GEN
AU  - ZAWADA-TOMKIEWICZ,Anna, Politechnika Koszalińska - Wydział Mechaniczny
AU  - STORCH,Borys, Politechnika Koszalińska - Wydział Mechaniczny
ED  - International Conference of DAAAM Baltic Industrial Engineering  DAAAM 2006
TI  - SVD analysis of a machined surface image for the tool wear estimation
KW  - Machined surface
KW  - Tool wear
KW  - Digital image
KW  - Materiały konferencyjne
N1  - Dane z autopsji
N2  - Image of e machined surface is the perspective projection of a magnified surface on a convereter plane. Cutting condition deterioration and tool wear influence the image of the machined surface. Change in image is distinctly noticeable from the energetic point of view. Singular value decomposition (SVD) method is a factorisation technique which effectively reduces machined surface image into a smaller portion of data. Analysis of the eigenvalues of a machined surface image makes possible their application in the estimation of tool wear
ER  -