Community Research and Development Information Service - CORDIS

FP5

Intelligente Uberwachungs- und Diagnosesysteme zur Prozesskontrolle

Funded under: FP5-GROWTH

Abstract

In this project the improvement of the control of the continuous casting process is approached by a process and plant supervision referring to product quality. This plant supervision puts the operator in a position to control the quality of the product in this very early state of the production so that he is able to interfere in the process if the predicted quality differs from the required quality.

One aspect in the realisation of the plant supervision is an objective and reproducible evaluation of the parameters influencing the quality. The usability of self-learning methods for an automated evaluation was proved exemplary by the evaluation of a signal from a slag warning system. In this case the evaluation was carried out manually by the plant operator. With the new automated evaluation system based on self-learning methods an evaluation can be realised, which is reproducible and independent from the plant personnel. Only this kind of evaluation is usable for the desired plant supervision.

The possibility to determine the connection between the quality features and the process values was shown at the following two different problems of the continuous casting: flux powder consumption and "rokes". In both cases it was possible to select the important input variables from a large number of possible input variables without further information from the plant operator. The trend of the goal value was modelled very well. Furthermore it was found that the connection between the quality features and the process values were non-linear. ar.

Additional information

Authors: LINK N, VDEh/BFI, Dusseldorf (DE);KNOLZKNECHT N, VDEh/BFI, Dusseldorf (DE);PETERS H, VDEh/BFI, Dusseldorf (DE)
Bibliographic Reference: EUR 19854 DE (2001), pp.140. Euro: 22.00
Availability: available by EUR-OP Sales Agents http://www.eur-op.eu
ISBN: ISBN: 92-894-1263-1
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