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寶鋼2030冷軋帶鋼板形識別和統計系統

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

  • 摘要: 為了實現對每卷帶鋼板形質量的定量評價,應用模糊分類理論構建了板形實測應力的板形缺陷(浪形)模式識別方法,提出了整卷帶鋼全部各幀應力值的識別結果的板形評價方法,開發了軋后帶鋼板形質量的識別和統計系統。實踐表明該系統能在線及時提供每卷帶鋼板形定量的實物質量指標。

     

    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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