节点文献
神经网络在在线产品质量控制中的应用
【摘要】 介绍一种用在SPC实时控制系统的人工神经网络模式识别方法,在此系统中,设置了一个虚拟的移动窗口,需要查询的生产过程数据将会不断地从此移动窗口中得到,从而数据不断更新,生产状态模式同时在更新,人工神经网络模式识别系统同时也在识别生产状态模式,当有异常模式出现时,系统就会报警,从而达到控制整个生产系统的目的。
【Abstract】 An artificial neural network pattern recognition approach for SPC on-line real time control system is presented . There is a virtual moving window in this system and the production process data can be continuously acquired from this window. As a result, the data in the window will be updated and the process pattern will also be updated. The artificial neural network approach for analysis of the control chart patterns recognizes the production process patterns at the same time. When any abnormal pattern arises, the system will give an alarm. Thus, the whole production process can be controlled.
【Key words】 Statistical Process Control (SPC) Artificial Neural Network Pattern Recognition;
- 【文献出处】 机械制造 ,Machinery , 编辑部邮箱 ,2005年05期
- 【分类号】TP183
- 【被引频次】14
- 【下载频次】344