| Application and Research on Fuzzy Cluster with Sintering Quanlity |
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| 作者姓名： | XIE Zhi-jiang TONG Ying OUYANG Qi QUAN Guo-zheng |
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| 作者单位： | 1. College of Mechanical Engineering, Chongqing University, Chongqing 400030, China; 2. College of Materials Science and Engineering, Chongqing University, Chongqing 400030, China |
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| 摘 要： | The sintering parameters, such as sinter trolley speed, stuff thickness and ignition temperature etc. have important influence on sinter section image character distribution, and the sinter chemical ingredient have complicated nolinear relation with sintering section image characters. The paper applied Mixed-F statistic analysis to determine the optimal class number of Fuzzy cluster of sintering section radiant image, and fuzzy partition entropy analysis to verify whether the class number is optimal. It is be proved that the algorithm is right and effective, and its application is helpful for the online forecasting sintering FeO range.
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| 关 键 词： | clustering radiant image FeO content forecasting clustering entropy |
| 收稿时间： | 2006/6/11 0:00:00 |
| 修稿时间： | 2006/6/11 0:00:00 |
Application and Research on Fuzzy Cluster with Sintering Quanlity |
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| XIE Zhi-jiang,TONG Ying,OUYANG Qi,QUAN Guo-zheng.Application and Research on Fuzzy Cluster with Sintering Quanlity[J].Storage & Process,2006(10):58-60. |
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| Authors: | XIE Zhi-jiang TONG Ying OUYANG Qi QUAN Guo-zheng |
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| Institution: | 1. College of Mechanical Engineering, Chongqing University, Chongqing 400030, China; 2. College of Materials Science and Engineering, Chongqing University, Chongqing 400030, China |
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| Abstract: | The sintering parameters, such as sinter trolley speed, stuff thickness and ignition temperature etc. have important influence on sinter section image character distribution, and the sinter chemical ingredient have complicated nolinear relation with sintering section image characters. The paper applied Mixed-F statistic analysis to determine the optimal class number of Fuzzy cluster of sintering section radiant image, and fuzzy partition entropy analysis to verify whether the class number is optimal. It is be proved that the algorithm is right and effective, and its application is helpful for the online forecasting sintering FeO range. |
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| Keywords: | clustering radiant image FeO content forecasting clustering entropy |
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