Nonparametric EWMA-Type Control Charts for Monitoring Industrial Processes: An Overview

被引：4

作者：

Triantafyllou, Ioannis S. ^{[1
]}

Ram, Mangey ^{[2
]}

机构：

[1] Univ Thessaly, Dept Comp Sci & Biomed Informat, Lamia 35131, Greece

[2] Graph Era Deemed Univ, Dept Math Comp Sci & Engn, Dehra Dun, Uttarakhand, India

来源：

INTERNATIONAL JOURNAL OF MATHEMATICAL ENGINEERING AND MANAGEMENT SCIENCES | 2021年 / 6卷 / 03期

关键词：

Distribution-free statistical methods; Rank-based procedures; Nonparametric statistical process control; Exponentially weighted moving average (EWMA) control charts; Sign statistics; AVERAGE CONTROL SCHEMES; SIGN CHART; CUSUM; LOCATION; DESIGN; EVENTS; ISSUES; TABLES; RATIO; TIME;

D O I：

10.33889/IJMEMS.2021.6.3.044

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

In the present paper we provide an up-to-date overview of nonparametric Exponentially Weighted Moving Average (EWMA) control charts. Due to their nonparametric nature, such memory-type schemes are proved to be very useful for monitoring industrial processes, where the output cannot match to a particular probability distribution. Several fundamental contributions on the topic are mentioned, while recent advances are also presented in some detail. In addition, some practical applications of the nonparametric EWMA-type control charts are highlighted, in order to emphasize their crucial role in the contemporary online statistical process control.

引用

页码：708 / 751

页数：44

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