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On the Fuzzy Expert System for Quality Judgement of Continuous Casting Slabs

WANG Yue-xin,QIU Yi-qing,LIU Xiang-hua(The State Key Laboratory of Rolling and Automation,Northeastern University,Shenyang 110004,China.)  
In view of so many uncertainties found in the continuous casting process,actual operating conditions and controlling requirements for hot-charging and hot-delivery in plant,a reasoning approach is proposed taking the longitudinal cracks on slabs surface as example to set up a relevant knowledge database in accordance to the thought to build fuzzy expert system.Then,the off-line judgement,reasoning and decision-making are available to the quality of continuous casting slabs by means of the prediction combining the longitudinal cracks index with artificial neural network,with the reason why a defect forms given.With the software VC++ 6.0 and Oracle database used,the man-machine interface is built.The debugged results showed that in this way the judgement accuracy can be up to 92.8%,thus laying a foundation for its online applications.
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