| 基于控制图的工序加工状况模糊判别 |
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| 引用本文： | 金曙光,陈志祥,夏先平.基于控制图的工序加工状况模糊判别[J].华中科技大学学报(自然科学版),1998(12). |
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| 作者姓名： | 金曙光 陈志祥 夏先平 |
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| 作者单位： | 华中理工大学机械科学与工程学院 |
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| 基金项目： | 国家高技术研究发展计划资助项目 |
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| 摘 要： | 提出了监测工序加工状况的一种新方法．先对工序的检测数据进行常规统计分析，再通过模糊综合判别方法自动判别工序的稳定性．在计算机上模拟典型样本对建立的神经网络进行训练，然后用于工序状况的模糊判别，提高模糊判别的精确度．用实例对这种方法进行了说明．该方法适用于下一代制造系统（ＮＧＭＳ）中的工序质量控制．
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| 关 键 词： | 控制图 模糊综合判别 工序加工状况 神经网络 下一代制造系统 |
Fuzzy Recognition of the Manufacturing Processes Based on Control Charts |
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| Jin Shuguang,Chen Zhixiang,Xia Xianping.Fuzzy Recognition of the Manufacturing Processes Based on Control Charts[J].JOURNAL OF HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY.NATURE SCIENCE,1998(12). |
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| Authors: | Jin Shuguang Chen Zhixiang Xia Xianping |
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| Institution: | Jin Shuguang Chen Zhixiang Xia Xianping |
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| Abstract: | Based on control charts and fuzzy recognition technology, a new method to monitor the manufacturing processes is presented. After the traditional statistical analysis (mainly R chart), this method used in SPC can recognize the processes through fuzzy multi factor evaluation. The fine adjustment of the evaluation through artificial neural network is also introduced. This method can be used in Next Generation Manufacturing System (NGMS). |
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| Keywords: | control charts fuzzy multi factor evaluation process status neural network NGMS |
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