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FUZZY EXPERT SYSTEM TO PREDICT

MAINTENANCE INTERVALS IN

A CONTINUOUS CASTER?

W. Slany

Christian Doppler Laboratory for Expert Systems
E184/2, TU Wien, A-1040 Vienna, Austria, Europe
Phone: +43{1{58801{6123 Fax: +43{1{5055304
E-Mail: wsi@vexpert.dbai.tuwien.ac.at

SUMMARY

During short-term scheduling in a steel plant, one problem is to know beforehand how long equipment will be usable and when it will have to be maintained. The proposed system answers this question for a part in a continuous caster in order to inform another system that schedules shortterm production. It uses fuzzy inference rules to process input data and to compute the life-expectancy of the part. Wheras human operators tend to use pessimistic values in order to be on the safe side, the system performs better in predicting the life-expectancy since it considers more types of influence and reasons with up-to-date information. For these reasons, the final schedule matches reality closer, avoiding vasted raw materials and production delays, while at the same time increasing product quality.

Both systems are currently developed in a joint project between the Austrian Industries Holding and the Christian Doppler Laboratory for Expert Systems.

?This paper was published at the CPC-93 International Conference on Computerized Production Control in Steel Plants, Seoul, Korea, Nov. 1993.