| 基于模糊聚类和最小二乘回归的罩式退火炉冷却时间预报及其应用 |
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| 引用本文： | 刘全利,战洪仁,王志刚,王伟.基于模糊聚类和最小二乘回归的罩式退火炉冷却时间预报及其应用[J].冶金自动化,2004,28(1):43-46. |
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| 作者姓名： | 刘全利 战洪仁 王志刚 王伟 |
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| 作者单位： | 1. 大连理工大学,信息与控制研究中心,辽宁,大连,116024
2. 沈阳化工学院 |
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| 基金项目： | 国家 8 63计划重点课题 ( 2 0 0 2AA412 0 2 0 )，辽宁省教育厅基金资助 ( 2 0 2 0 93 0 73 )。 |
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| 摘 要： | 按照退火计划内各钢卷的钢种和厚度对退火中的冷却工艺进行分类 ,将罩式退火炉冷却时间预报的多入单出建模问题化为一组单入单出建模问题。采用模糊C均值聚类方法对退火生产数据进行处理 ,再基于得到的聚类数据点进行指数最小二乘回归。现场应用表明 ,该方法能够较为准确地实现退火炉冷却时间预报 ,满足了现场要求。
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| 关 键 词： | 模糊聚类 最小二乘回归 退火 冷却时间预报 优化调度 |
| 文章编号： | 1000-7059(2004)01-0043-04 |
| 修稿时间： | 2003年5月28日 |
Cooling time prediction of hood-type annealing furnace based on fuzzy C-means clustering and least square regression and its application |
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| LIU Quan-li,ZHAN Hong-ren,WANG Zhi-gang,WANG Wei.Cooling time prediction of hood-type annealing furnace based on fuzzy C-means clustering and least square regression and its application[J].Metallurgical Industry Automation,2004,28(1):43-46. |
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| Authors: | LIU Quan-li ZHAN Hong-ren WANG Zhi-gang WANG Wei |
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| Affiliation: | LIU Quan-li~1,ZHAN Hong-ren~2,WANG Zhi-gang~1,WANG Wei~1 |
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| Abstract: | Annealing cooling processes are classified in accordance with material and thickness of each steel coil in annealing plan,then multi-input and single-output modeling problem for cooling time prediction of hood-type annealing furnace is simplified to a group of single-input and single-output modeling problem.Fuzzy C-means algorithm is used to cluster the production data in batch annealing process,then the exponent least square algorithm is used to get the relationship between cooling time and weight of clusters.Practical application shows that the method can achieve more correct cooling time prediction of annealing furnace and meet the need of worksite. |
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| Keywords: | fuzzy clustering least square regression annealing cooling time prediction optimal scheduling |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
