Clustering algorithm-based control charts

机译：基于聚类算法的控制图

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Hotelling's T2 control chart is widely used as a representative method to efficiently monitor multivariate processes. However, they have some parametric restrictions that may not be applicable for modern manufacturing systems complicated. In the present study we propose a clustering algorithm-based control chart that overcomes the limitation posed by the parametric assumption in existing control chart methods. The simulation results showed that the proposed clustering algorithm-based control charts outperformed Hotelling's T2 control charts especially when process data follow the nonnormal distributions.

机译：Hotelling的T ^{2 控制图被广泛用作有效监控多变量过程的代表方法。但是，它们具有一些参数限制，可能不适用于复杂的现代制造系统。在本研究中，我们提出了一种基于聚类算法的控制图，该控制图克服了现有控制图方法中参数假设所带来的限制。仿真结果表明，所提出的基于聚类算法的控制图优于酒店的T ^{2 控制图，特别是当过程数据遵循非正态分布时。}}

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《2011 IEEE International Conference on Intelligence and Security Informatics》|2011年|p.272-277|共6页
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Kang Ji Hoon; Kim Seoung Bum;
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中图分类人工智能理论;
关键词
Bootstrap method; Hotelling's T2 One class classification; Multivariate control chart; k-means data description; k-means-based T2;

机译：Bootstrap方法; Hotelling的T ^{2 一类分类;多元控制图; k均值数据描述;基于k均值的T ^{2 ;}}

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4. Clustering algorithm-based control charts [C] . Kang Ji Hoon, Kim Seoung Bum IEEE International Conference on Intelligence and Security Informatics . 2011

机译：基于聚类算法的控制图
5. Contributions to multivariate control charting: Studies of the Z chart and four nonparametric charts. [D] . Boone, Jeffrey Michael. 2010

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6. Early warning scoring systems versus standard observations charts for wards in South Africa: a cluster randomized controlled trial [O] . Una Kyriacos, Jennifer Jelsma, Michael James, 2015

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7. U-Control Chart Based Differential Evolution Clustering for Determining the Number of Cluster in k-Means [O] . Jesús Silva, Omar Bonerge Pineda Lezama, Noel Varela, 2019

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8. Encounter Complexes for Clustering Network Flow (Briefing Charts). [R] . Metcalf, L. 2015

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Clustering algorithm-based control charts

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