Kernel principal component analysis (PCA) control chart for monitoring mixed non-linear variable and attribute quality characteristics-Reference-Cited by-同舟云学术

Kernel principal component analysis (PCA) control chart for monitoring mixed non-linear variable and attribute quality characteristics

Published:2022-06 Issue:6 Volume:8 Page:e09590
ISSN:2405-8440
Container-title:Heliyon
language:en
Short-container-title:Heliyon

Author:

Ahsan Muhammad^ORCID,Mashuri Muhammad,Khusna Hidayatul,Wibawati

Publisher

Elsevier BV

Subject

Multidisciplinary

Reference41 articles.

1. On the distribution of the T2 statistic, used in statistical process monitoring, for high-dimensional data;Ahmad;Stat. Probab. Lett.,2021

2. Multivariate control chart based on Kernel PCA for monitoring mixed variable and attribute quality characteristics;Ahsan;Symmetry,2020

3. Multivariate control chart based on PCA Mix for variable and attribute quality characteristics;Ahsan;Prod. Manuf. Res.,2018

4. Outlier detection using PCA mix based T2 control chart for continuous and categorical data;Ahsan;Commun. Stat., Simul. Comput.,2019

5. An attribute control chart for multivariate Poisson distribution using multiple dependent state repetitive sampling;Aldosari;Qual. Reliab. Eng. Int.,2019

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