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Showing 1 to 8 of 8 for “"MEWMA"”.
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Robust MEWMA-type Control Charts for Monitoring the Covariance Matrix of Multivariate Processes
… ". In this article, the robust design of several MEWMA-type control charts for monitoring • is investigated. In particular, the robustness and efficiency of different MEWMA-type control charts are compared for the in-control and out-of-control cases over a variety of multivariate distributions. …
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Process Monitoring with Multivariate Data:Varying Sample Sizes and Linear Profiles
… exponentially weighted moving average (MEWMA) control chart is one of the most commonly recommended tools for multivariate process monitoring. The standard practice, when using the MEWMA control chart, is to take samples of fixed size at regular sampling intervals for each variable. In …
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Identification of shift variation in bivariate process using pattern recognition technique
… Weighted Moving Average-Multilayer Perceptron (MEWMA-MLP). Input representation for the MLP recogniser in both schemes was designed based on summary statistical features and it was systematically selected using the design of experiments analysis. The average run lengths (ARL0, ARL1) and …
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GLR Control Charts for Monitoring the Mean Vector or the Dispersion of a Multivariate Normal Process
… exponentially weighted moving average (MEWMA) chart, and a multi-MEWMA combination. Results show that the Hotelling Χ² chart and the MEWMA chart are only effective for a small range of shift sizes in the mean vector, while the GLR chart and some carefully designed multi-MEWMA …
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Control Charts with Missing Observations
… Moving Average (EWMA) and Multivariate EWMA (MEWMA) control charts. The standardized sample mean is used since this adjusts the sample mean for the fact that part of the sample may be missing. It also allows for constant control limits even though the sample size varies randomly. When complete …
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Design optimization for the two-stage bivariate pattern recognition scheme
… performance. In this research, an integrated MEWMA-ANN scheme was investigated. The optimal design parameters for the MEWMA control chart have been studied. The study focused on BQC with variation in mean shifts (μ = ±0.75 ~ 3.00) standard deviations and cross correlation function (ρ = 0.1 ~ …
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Synergistic artificial neural network scheme for monitoring and diagnosis of multivariate process variation in mean shifts
… Exponentially Weighted Moving Average (MEWMA). In monitoring, it is effective in rapid detection of out of control without false alarm. In diagnosis, it is able to accurately identify for source of variables. Whereby, diagnosis cannot be performed by traditional control chart. This study …
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Monitoramento de processos em bateladas através de cartas de controle multivariadas utilizando Análise de Componentes Principais Multidirecionais
… tais como as cartas de Hotelling, MCUSUM e MEWMA não são suficientemente robustas para tratar com um grande número de variáveis correlacionadas, pois foram concebidas para monitorar um número reduzido de variáveis de qualidade do produto final. Diante disso, ferramentas multivariadas mais …