Browsing by Subject "Statistical process control"
Now showing items 1-6 of 6
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An Efficient Phase I Analysis of Linear Profiles with Application in Photo-Voltaic System
( Springer Verlag , 2019 , Article)In many manufacturing industries, quality of an item depends on different characteristics and their relationship may be modeled by profiles. For instance, in photo-voltaic (PV) system, output voltage is dependent on the ... -
An ensemble neural network framework for improving the detection ability of a base control chart in non-parametric profile monitoring
( Elsevier , 2022 , Article)Profile monitoring is a challenging issue in statistical process control (SPC). It aims to use a functional relationship between a response variable and one or more explanatory variable(s) to summarize the quality of a ... -
Control charts for variability monitoring in high-dimensional processes
( Elsevier Ltd , 2019 , Article)Monitoring process variability is associated with detecting changes in the covariance matrix of a multivariate normal process. Most monitoring methods estimate the sample covariance matrix and compare it with the in-control ... -
Improved Nonparametric Control Chart Based on Ranked Set Sampling with Application of Chemical Data Modelling
( Hindawi Limited , 2022 , Article)e statistical performance of parametric control charts is questionable when the underlying process does not follow any speci ed probability distribution. Nonparametric control charts are the best substitute for this ... -
Multivariate coefficient of variation control charts in phase I of SPC
( Springer London , 2018 , Article)Multivariate control charts are mostly available for monitoring the process mean vector or the covariance matrix. Recently, work has been done on monitoring the multivariate coefficient of variation (CV) in phase II of the ... -
Phase II monitoring of linear profiles with random explanatory variable under Bayesian framework
( Elsevier , 2019 , Article)Linear profiles monitoring have been successfully implemented in many industrial applications. The design structures of control charts for profiles monitoring are mostly based on two major classifications namely Classical ...