Performance of T 2-based PCA mix control chart with KDE control limit for monitoring variable and attribute characteristics

Autor:	Muhammad Ahsan, Muhammad Mashuri, Dedy Dwi Prastyo, Muhammad Hisyam Lee
Jazyk:	angličtina
Rok vydání:	2024
Předmět:	Hotelling’s T 2 Kernel density estimation Mixed quality characteristics Outlier PCA mix Medicine Science
Zdroj:	Scientific Reports, Vol 14, Iss 1, Pp 1-17 (2024)
Druh dokumentu:	article
ISSN:	2045-2322
DOI:	10.1038/s41598-024-58052-4
Popis:	Abstract In this work, the mixed multivariate T 2 control chart’s detailed performance evaluation based on PCA mix is explored. The control limit of the proposed control chart is calculated using the kernel density approach. Through simulation studies, the proposed chart’s performance is assessed in terms of its capacity to identify outliers and process shifts. When 30% more outliers are included in the data, the proposed chart provides a consistent accuracy rate for identifying mixed outliers. For the balanced percentage of attribute qualities, misdetection happens because of the high false alarm rate. For unbalanced attribute qualities and excessive proportions, the masking effect is the key issue. The proposed chart shows the improved performance for the shift in identifying the shift in the process.
Databáze:	Directory of Open Access Journals
Externí odkaz:	https://doaj.org/article/9342f55b54a441ce9a008d1417a54870 Zobrazit plný text záznamu View record in DOAJ Plný text ve formátu PDF Plný text ve formátu HTML
Nepřihlášeným uživatelům se plný text nezobrazuje	K zobrazení výsledku je třeba se přihlásit.