引用本文:蒋式勤,胡国四,萧蕴诗,吴启迪.钢管材质计算机在线分检系统及其核心算法[J].控制理论与应用,2002,19(5):750~754.[点击复制]
JIANG Shi-qin,HU Guo-si,XIAO Yun-shi,WU Qi-di.On-line computer sorting system of steel tube material and its core algorithm[J].Control Theory and Technology,2002,19(5):750~754.[点击复制]
钢管材质计算机在线分检系统及其核心算法
On-line computer sorting system of steel tube material and its core algorithm
摘要点击 1111  全文点击 1175  投稿时间：2001-05-09  修订日期：2001-12-17
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DOI编号  
  2002,19(5):750-754
中文关键词  钢管材质计算机分检  统计递推算法  模式识别
英文关键词  computer sorting system of steel tube material  statistical recursive algorithm  pattern recognize
基金项目  
作者单位E-mail
蒋式勤 同济大学信息与控制工程系， 上海200092 sqjiang@mail.tongji.edu.cn  
胡国四 同济大学信息与控制工程系， 上海200092  
萧蕴诗 同济大学信息与控制工程系， 上海200092  
吴启迪 同济大学信息与控制工程系， 上海200092  
中文摘要
      介绍了钢管材质计算机在线分检系统的总体结构, 提出了一种基于经验值的统计递推分检算法. 当同规格不同批的钢管检测数据严重离散, 且在检测前不用样管先调试的情况下, 这种方法很好地解决了生产线上钢管材质的检测问题. 文中给出了现场测试的结果.
英文摘要
      The architecture of the on-line computer sorting system of steel tube material and a kind of statistical recursive algorithm based on experience data is proposed in this paper. Under the conditions that the testing data differ significantly from the same standard tubes not in the same batch, or that the sample tubes are not used to debug the system parameters befor testing, the steel tube on-line sorting can be improved dramatically by employing this method. The testing results are discussed in detail.