Results 41 to 50 of about 3,947 (212)
Robust point location estimators for the EWMA control chart [PDF]
Quality Technology & Quantitative Management, 2016 In practice, the EWMA control chart for process monitoring is based on parameters estimated from a retrospective data set representing the process characteristic under study. This data set may contain contaminated observations, which in turn can affect the estimates and hence the control chart’s performance.
Zwetsloot, I.M. +2 more
openaire +2 more sources
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
wiley +1 more source
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
doaj +1 more source
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
doaj +1 more source
A Binary Control Chart to Detect Small Jumps [PDF]
, 2009 The classic N p chart gives a signal if the number of successes in a sequence of inde- pendent binary variables exceeds a control limit. Motivated by engineering applications in industrial image processing and, to some extent, financial statistics, we ...
Rafalowicz, Ewaryst, Steland, Ansgar
core +1 more source
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
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
doaj +1 more source
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
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
Multivariate control charts based on Bayesian state space models
, 2006 This paper develops a new multivariate control charting method for vector autocorrelated and serially correlated processes. The main idea is to propose a Bayesian multivariate local level model, which is a generalization of the Shewhart-Deming model for ...
Ameen +49 more
core +1 more source