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Simultaneous process mean and variance monitoring using artificial neural networks · Study

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ArticleSimultaneous process mean and variance monitoring using artificial neural networks

Ruey‐Shiang Guh2010

Article2010

Simultaneous process mean and variance monitoring using artificial neural networks

Ruey‐Shiang Guh

36 citations·0/0 files stored·Computers & Industrial Engineering

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Advanced Statistical Process Monitoring Neural Networks and Applications Fault Detection and Control Systems

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References

1983Simulation Modeling and Analysis.1992Introduction to Statistical Quality Control 1990Statistical Quality Control 2001Introduction to Statistical Quality Control 1984The Shewhart Control Chart—Tests for Special Causes 1982Combined Shewhart-CUSUM Quality Control Schemes 1992Statistical Quality Design and Control: Contemporary Concepts and Methods 2003Improved SPC chart pattern recognition using statistical features

Cited by

2012Pattern recognition for bivariate process mean shifts using feature-based artificial neural network 2022Concurrent Control Chart Pattern Recognition: A Systematic Review 2016On the effect of measurement errors in simultaneous monitoring of mean vector and covariance matrix of multivariate processes 2021Using evolutionary artificial neural networks in monitoring binary and polytomous logistic profiles 2013Recognition and classification of single and concurrent unnatural patterns in control charts via neural networks and fitted line of samples

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Details

Year2010

Typearticle

Published2010-02-13

VenueComputers & Industrial Engineering

ISSN-L0360-8352

Languageen

Citations36

Files0 public / 0

ShelfAdvanced Statistical Process Monitoring

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doi10.1016/j.cie.2010.02.004

openalex_workW2033723545

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2022

Machine learning-based control charts for monitoring fraction nonconforming product in smart manufacturing

2015Control charts for flexible and multi-variety production systems

2012Abnormal Patterns Detection in Control Charts using Classification Techniques