Fuzzy Expert System for Maintenance Interval Prediction
نویسندگان
چکیده
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 present system answers this question for a part in a continuous caster in order to inform another system that schedules short-term production. It uses fuzzy inference rules to process input data and to compute the life-expectancy of the part. The system performs better than humans in predicting the life-expectancy since it considers more types of innuence and reasons with up-to-date informations. For these reasons, the nal schedule matches reality closer, avoiding vasted raw materials and production delays as well as increasing qualities.
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