中国机械工程2012，Vol.23Issue(23)：2835-2838,4.DOI:10.3969/j.issn.1004-132X.2012.23.013
基于模糊聚类分析的控制图变点估计研究
Research on Change-point Estimation of Control Charts Based on Fuzzy Clustering Approach
摘要
Abstract
Traditional control charts did not indicate the real time of the process changes which were change-point. A fuzzy -statistical clustering approach was given to estimate the time of changes based on the fuzzy cluster and statistical theory. The proposed approach has a good result of change -point compared with traditional Shewhart control chart method and FCM method to estimate the change-point of different control charting methods with or without variable sampling strategies in a good deal of simulation. Finally, the method was used in the engine cylinder manufacturing process. The effectiveness and feasibility of this study were tested.关键词
充计过程控制/变点估计/模糊集理论/模糊聚类/可变抽样控制图Key words
statistical process control/ change-point estimation/ fuzzy set theory/ fuzzy clustering/ variable sampling control chart分类
信息技术与安全科学引用本文复制引用
沈维蕾,赵韩,周蓉..基于模糊聚类分析的控制图变点估计研究[J].中国机械工程,2012,23(23):2835-2838,4.
