戴江波, 吴文彬, 张清东, 王俊飞, 王慧. 宝钢2030冷轧带钢板形识别和统计系统[J]. 工程科学学报, 2003, 25(6): 572-574,583. DOI: 10.13374/j.issn1001-053x.2003.06.021
引用本文: 戴江波, 吴文彬, 张清东, 王俊飞, 王慧. 宝钢2030冷轧带钢板形识别和统计系统[J]. 工程科学学报, 2003, 25(6): 572-574,583. DOI: 10.13374/j.issn1001-053x.2003.06.021
DAI Jiangbo, WU Wenbin, ZHANG Qingdong, WANG Junfei, WANG Hui. Recognition and Evaluation System for Strip Flatness on 2030 mm Cold Tandem Mills[J]. Chinese Journal of Engineering, 2003, 25(6): 572-574,583. DOI: 10.13374/j.issn1001-053x.2003.06.021
Citation: DAI Jiangbo, WU Wenbin, ZHANG Qingdong, WANG Junfei, WANG Hui. Recognition and Evaluation System for Strip Flatness on 2030 mm Cold Tandem Mills[J]. Chinese Journal of Engineering, 2003, 25(6): 572-574,583. DOI: 10.13374/j.issn1001-053x.2003.06.021

宝钢2030冷轧带钢板形识别和统计系统

Recognition and Evaluation System for Strip Flatness on 2030 mm Cold Tandem Mills

  • 摘要: 为了实现对每卷带钢板形质量的定量评价,应用模糊分类理论构建了板形实测应力的板形缺陷(浪形)模式识别方法,提出了整卷带钢全部各帧应力值的识别结果的板形评价方法,开发了轧后带钢板形质量的识别和统计系统。实践表明该系统能在线及时提供每卷带钢板形定量的实物质量指标。

     

    Abstract: In order to accomplish the quantitative evaluation of strip profile, a flatness recognition and evaluation system was proposed, which combines a pattern recognition model based on the fuzzy classification principle and a flatness evaluation model by multi-grade statistics. This system was tested by the data measured from 2030 mm cold tandem mills and a good stage-by-stage result was achieved.

     

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