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An attribute control chart for a Weibull distribution under accelerated hybrid censoring

In this article, an attribute control chart has been proposed using the accelerated hybrid censoring logic for the monitoring of defective items whose life follows a Weibull distribution. The product can be tested by introducing the acceleration factor based on different pressurized conditions such...

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Detalles Bibliográficos
Autores principales: Aslam, Muhammad, Arif, Osama H., Jun, Chi-Hyuck
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5336291/
https://www.ncbi.nlm.nih.gov/pubmed/28257479
http://dx.doi.org/10.1371/journal.pone.0173406
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author Aslam, Muhammad
Arif, Osama H.
Jun, Chi-Hyuck
author_facet Aslam, Muhammad
Arif, Osama H.
Jun, Chi-Hyuck
author_sort Aslam, Muhammad
collection PubMed
description In this article, an attribute control chart has been proposed using the accelerated hybrid censoring logic for the monitoring of defective items whose life follows a Weibull distribution. The product can be tested by introducing the acceleration factor based on different pressurized conditions such as stress, load, strain, temperature, etc. The control limits are derived based on the binomial distribution, but the fraction defective is expressed only through the shape parameter, the acceleration factor and the test duration constant. Tables of the average run lengths have been generated for different process parameters to assess the performance of the proposed control chart. Simulation studies have been performed for the practical use, where the proposed chart is compared with the Shewhart np chart for demonstration of the detection power of a process shift.
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spelling pubmed-53362912017-03-10 An attribute control chart for a Weibull distribution under accelerated hybrid censoring Aslam, Muhammad Arif, Osama H. Jun, Chi-Hyuck PLoS One Research Article In this article, an attribute control chart has been proposed using the accelerated hybrid censoring logic for the monitoring of defective items whose life follows a Weibull distribution. The product can be tested by introducing the acceleration factor based on different pressurized conditions such as stress, load, strain, temperature, etc. The control limits are derived based on the binomial distribution, but the fraction defective is expressed only through the shape parameter, the acceleration factor and the test duration constant. Tables of the average run lengths have been generated for different process parameters to assess the performance of the proposed control chart. Simulation studies have been performed for the practical use, where the proposed chart is compared with the Shewhart np chart for demonstration of the detection power of a process shift. Public Library of Science 2017-03-03 /pmc/articles/PMC5336291/ /pubmed/28257479 http://dx.doi.org/10.1371/journal.pone.0173406 Text en © 2017 Aslam et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Aslam, Muhammad
Arif, Osama H.
Jun, Chi-Hyuck
An attribute control chart for a Weibull distribution under accelerated hybrid censoring
title An attribute control chart for a Weibull distribution under accelerated hybrid censoring
title_full An attribute control chart for a Weibull distribution under accelerated hybrid censoring
title_fullStr An attribute control chart for a Weibull distribution under accelerated hybrid censoring
title_full_unstemmed An attribute control chart for a Weibull distribution under accelerated hybrid censoring
title_short An attribute control chart for a Weibull distribution under accelerated hybrid censoring
title_sort attribute control chart for a weibull distribution under accelerated hybrid censoring
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5336291/
https://www.ncbi.nlm.nih.gov/pubmed/28257479
http://dx.doi.org/10.1371/journal.pone.0173406
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