Results 41 to 50 of about 3,958 (193)
Adaptive CUSUM Chart for Simultaneous Monitoring of Mean and Variance
Quality and Reliability Engineering International, EarlyView.ABSTRACT Simultaneously monitoring changes in both the mean and variance is a fundamental problem in statistical process control, and numerous methods have been developed to address it. However, many existing approaches face notable limitations: Some rely on tuning parameters that can significantly affect performance; others are biased toward detecting
Gokul Parakulum, Jun Li
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A CNN Approach for Simultaneous Spatiotemporal Fault Interpretation
Quality and Reliability Engineering International, EarlyView.ABSTRACT Convolutional Neural Networks (CNNs) have emerged as one of the most effective tools for image analysis. In this study, we propose a custom‐designed CNN architecture to construct a process control scheme based on image data. The product image is partitioned into equal‐sized grids, each comprising three channels: (i) reference image, (ii ...
Hamed Sabahno
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Scientific Reports, 2023 In this article, we introduce a novel Bayesian Max-EWMA control chart under various loss functions to concurrently monitor the mean and variance of a normally distributed process.
Javed Iqbal +5 more
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Phase I Multivariate Coefficient of Variation Control Charts for High‐Dimensional Processes
Quality and Reliability Engineering International, EarlyView.ABSTRACT Multivariate control charts have traditionally focused on monitoring the process mean vector and/or covariance matrix. Recent studies have extended this framework to Phase II monitoring of the multivariate coefficient of variation (MCV); yet very limited work has examined MCV‐based monitoring in Phase I.
O. A. Oyegoke +2 more
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Synthetic-type control charts for time-between-events monitoring. [PDF]
PLoS ONE, 2013 This paper proposes three synthetic-type control charts to monitor the mean time-between-events of a homogenous Poisson process. The first proposed chart combines an Erlang (cumulative time between events, Tr ) chart and a conforming run length (CRL ...
Fang Yen Yen +2 more
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Comparing statistical process control charts for fault detection in wastewater treatment
Water Science and Technology, 2022 Fault detection is an important part of process supervision, especially in processes where there are strict requirements on the process outputs like in wastewater treatment.
H. L. Marais, V. Zaccaria, M. Odlare
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Joint economic design of EWMA control charts for mean and variance [PDF]
, 2008 Cataloged from PDF version of article.Control charts with exponentially weighted moving average (EWMA) statistics (mean and variance) are used to jointly monitor the mean and variance of a process.
Moskowitz, H., Serel, D.
core +1 more source
Quality and Reliability Engineering International, Volume 42, Issue 3, Page 933-949, April 2026.ABSTRACT Percutaneous transhepatic biliary drainage (PTBD) catheter placement is known to have a high readmission rate. This work focuses on monitoring the change in readmission rate after a new clinical paradigm for post‐procedural care is implemented for the PTBD procedures.
Muhammed Aljifri +2 more
wiley +1 more source
Production, 2007 Este artigo trata dos gráficos de controle de EWMA e de X-barra utilizados no monitoramento de processos cujas observações podem ser descritas por um modelo auto-regressivo de primeira ordem.
Fernando Antonio Elias Claro +2 more
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Study on Likelihood-Ratio-Based Multivariate EWMA Control Chart Using Lasso
Kvalita Inovácia Prosperita, 2021 Purpose: When applying exponentially weighted moving average (EWMA) multivariate control charts to multivariate statistical process control, in many cases, only some elements of the controlled parameters change.
Takumi Saruhashi +2 more
doaj +1 more source