Adaptively Pattern Recognition in Statistical Process Control Using Fuzzy ART Neural Network

摘要：

This paper presents a statistical Process Control (SPC) method based on Fuzzy ART (adaptive Resonance Theory) neural network. The Fuzzy ART neural network is applied to recognize the special disturbance of the manufacturing processes based on the classification on the histograms. It is shown that the Fuzzy ART neural network can adaptively learn the features of the histograms of the quality parameters in manufacturing processes. As a result, the special disturbance can be automatically detected when a feature of the special disturbance starts to appear in the histograms.

关键词： statistical process control fuzzy ART histogram pattern recognition

作者: Min Wang Tao Zan

作者单位: Key Lab of Advanced Manufacturing Technology, Beijing University of Technology, Beijing, 100124, China

会议类型: 国际会议

会议名称: 2010 International Conference on Digital Manufacturing and Automation(2010 数字制造与自动化国际会议 ICDMA 2010)

会议地点: 长沙

会议语种:英文

页码: 160-163

在线出版日期: 2010-12-18（万方平台首次上网日期，不代表论文的发表时间）