Distribution-Free CUSUM-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 248002, Uttarakhand, India
来源：
INTERNATIONAL JOURNAL OF MATHEMATICAL ENGINEERING AND MANAGEMENT SCIENCES | 2021年 / 6卷 / 04期
关键词：
Distribution-free statistical methods; Rank-based procedures; Nonparametric statistical process control; Cumulative sum control charts; Sign statistics; NONPARAMETRIC CONTROL CHARTS; WEIGHTED MOVING AVERAGE; LOCATION; VARIABLES; VARIANCE; DESIGN;
D O I：
10.33889/IJMEMS.2021.6.4.058
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 Cumulative Sum (CUSUM) monitoring schemes. Due to their nonparametric nature, such memory-type schemes are proved to be very useful for monitoring industrial processes, where the output does not match to a particular distributional model. 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 CUSUM-type control charts are highlighted, in order to emphasize their crucial role in the contemporary online Statistical Process Control.
引用
收藏
页码：975 / 1008
页数：34
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