دورية أكاديمية
A nonparametric mixed exponentially weighted moving average-moving average control chart with an application to gas turbines.
| العنوان: | A nonparametric mixed exponentially weighted moving average-moving average control chart with an application to gas turbines. |
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| المؤلفون: | Raza MA; Department of Statistics, Government College University Faisalabad, Faisalabad, Pakistan., Tariq F; Department of Statistics, Government College University Faisalabad, Faisalabad, Pakistan., Zaagan AA; Department of Mathematics, College of Science, Jazan University, Jazan, Kingdom of Saudi Arabia., Engmann GM; Department of Biometry, C. K. Tedam University of Technology and Applied Sciences, Navrongo, Ghana., Mahnashi AM; Department of Mathematics, College of Science, Jazan University, Jazan, Kingdom of Saudi Arabia., Meetei MZ; Department of Mathematics, College of Science, Jazan University, Jazan, Kingdom of Saudi Arabia. |
| المصدر: | PloS one [PLoS One] 2024 Aug 13; Vol. 19 (8), pp. e0307559. Date of Electronic Publication: 2024 Aug 13 (Print Publication: 2024). |
| نوع المنشور: | Journal Article |
| اللغة: | English |
| بيانات الدورية: | Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE |
| أسماء مطبوعة: | Original Publication: San Francisco, CA : Public Library of Science |
| مواضيع طبية MeSH: | Monte Carlo Method*, Gases ; Models, Statistical ; Statistics, Nonparametric ; Computer Simulation ; Algorithms |
| مستخلص: | This study aims to develop a nonparametric mixed exponentially weighted moving average-moving average (NPEWMA-MA) sign control chart for monitoring shifts in process location, particularly when the distribution of a critical quality characteristic is either unknown or non-normal. In literature, the variance expression of the mixed exponentially weighted moving average-moving average (EWMA-MA) statistic is calculated by allowing sequential moving averages to be independent, and thus the exclusion of covariance terms results in an inaccurate variance expression. Furthermore, the effectiveness of the EWMA-MA control chart deteriorates when the distribution of a critical quality characteristic deviates from normality. The proposed NPEWMA-MA sign control chart addresses these by utilizing the corrected variance of the EWMA-MA statistic and incorporating the nonparametric sign test into the EWMA-MA charting structure. The chart integrates the moving average (MA) statistic into the exponentially weighted moving average (EWMA) statistic. The EWMA-MA charting statistic assigns more weight to recent w samples, with weights for previous observations decling exponentially. Monte Carlo simulations assess the chart's performance using various run length (RL) characteristics such as average run length (ARL), standard deviation of run length (SDRL), and median run length (MRL). Additional measures for overall performance include the average extra quadratic loss (AEQL) and relative mean index (RMI). The proposed NPEWMA-MA sign control chart demonstrates superior performance compared to existing nonparametric control charts across different symmetrical and asymmetric distributions. It efficiently detects process shifts, as validated through both a simulated study and a real-life example from a combined cycle power plant. Competing Interests: The authors have declared that no competing interests exist. (Copyright: © 2024 Raza et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.) |
| References: | PLoS One. 2020 Feb 14;15(2):e0228208. (PMID: 32059001) Sci Rep. 2023 Aug 14;13(1):13179. (PMID: 37580471) Sci Rep. 2024 Mar 7;14(1):5604. (PMID: 38453950) Sci Rep. 2024 Mar 21;14(1):6759. (PMID: 38514721) |
| المشرفين على المادة: | 0 (Gases) |
| تواريخ الأحداث: | Date Created: 20240813 Date Completed: 20240813 Latest Revision: 20240815 |
| رمز التحديث: | 20240815 |
| مُعرف محوري في PubMed: | PMC11321579 |
| DOI: | 10.1371/journal.pone.0307559 |
| PMID: | 39137201 |
| قاعدة البيانات: | MEDLINE |
Full Text Finder | تدمد: | 1932-6203 |
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| DOI: | 10.1371/journal.pone.0307559 |