Adaptive Process Control in Rubber industry

• Autorzy: Brause R. W. , Pietruschka U.
• Języki publikacji: EN

Abstrakty

EN

This paper describes the problems and an adaptive solution for process control in rubber industry. We show that the human and economical benefits of an adaptive solution for the approximation of process parameters are very attractive. The modeling of the industrial problem is done by the means of artificial neural networks. For the example of the extrusion of a rubber profile in tire production our method shows good resuits even using only a few training samples.

Słowa kluczowe

EN

extruder mask estimation; nonlinear adaptive control; neural networks; rubber production automatisation; knowledge accumulation

PL

sieci neuronowe; przemysł gumowy; nieliniowe sterowanie adaptacyjne

• Wydawca: Taylor & Francis
• Czasopismo: International Journal of Occupational Safety and Ergonomics
• Rocznik: 1998
• Tom: Vol. 4, No. 3
• Strony: 253--269
• Opis fizyczny: Bibliogr. 14 poz., rys., wykr.

Twórcy

autor

Brause R. W.

• J.W. Goethe University, Germany

autor

Pietruschka U.

• J.W. Goethe University, Germany

Bibliografia

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