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The application of image processing techniques in the tool wear estimation / Anna Zawada-Tomkiewicz, Borys Storch.

Autor:

ZAWADA-TOMKIEWICZ, Anna. Politechnika Koszalińska - Wydział Mechaniczny, Zakład Zarządzania i Marketingu w Budowie i Eksploatacji Maszyn, 1996 -

Współtwórca(-y):

STORCH, Borys. Politechnika Koszalińska - Wydział Mechaniczny, Zakład Zarządzania i Marketingu w Budowie i Eksploatacji Maszyn, 1996 -

Rodzaj materiału:

ArtykułJęzyk: angielski Praca zawiera:

International Conference on Computational Methods in Contact Mechanics (6 ; 2003 ; Crete, Grecja). Contact Mechanics 2003

Rodzaj/forma:

Materiały konferencyjne.

W: Computational methods in contact mechanics VI / ed. C.A. Brebbia. - Southampton : WIT Press, 2003. - s. 201-210Streszczenie: The assumptions for a monitoring system of a tool flank wear the basis of a machined surface digital image acquired from a computer vision system are presented. Yhe method of a VB parameter estimation is based on a texture analysis of a digital image of a machined surface. This method is an indirect mrthod. One directional three-layer artificial neural network with an optimized number of neurons in each layer and time of training acts as an estimator. The settlement of the estimator parameters is nased on error minimization between the reference values and the output values from an estimator. Input values for an estimator are the mathematical indexes of a machined surface digital image. The method presented solves the problem of applying a machined surface image for tool flank wear monitoring during cutting.

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Dane z autopsji.

The assumptions for a monitoring system of a tool flank wear the basis of a machined surface digital image acquired from a computer vision system are presented. Yhe method of a VB parameter estimation is based on a texture analysis of a digital image of a machined surface. This method is an indirect mrthod. One directional three-layer artificial neural network with an optimized number of neurons in each layer and time of training acts as an estimator. The settlement of the estimator parameters is nased on error minimization between the reference values and the output values from an estimator. Input values for an estimator are the mathematical indexes of a machined surface digital image. The method presented solves the problem of applying a machined surface image for tool flank wear monitoring during cutting.