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Interpreting the out-of-control signal in multivariate control chart — a comparative study

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References

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2013

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Out‐of‐Control Signals in Three‐Part Compositional T 2 Control Chart

32 cited

2012A Bayesian Approach for Interpreting Mean Shifts in Multivariate Quality Control30 cited

2009A New Multivariate Non-Parametric Control Chart Based on Sign Test28 cited

2010A control chart based on sample ranges for monitoring the covariance matrix of the multivariate processes24 cited

2016Signal interpretation in Hotelling’s T 2 control chart for compositional data24 cited

2017Methods for interpreting the out‐of‐control signal of multivariate control charts: A comparison study23 cited

2010An integrated system for on-line intelligent monitoring and identifying process variability and its application21 cited

2018Multivariate statistical process control in annual pharmaceutical product review21 cited

2009Control charts for monitoring the mean vector and the covariance matrix of bivariate processes17 cited

2014Interpreting out-of-control signals using instance-based bayesian classifier in multivariate statistical process control16 cited

2021A robust meta‐method for interpreting the out‐of‐control signal of multivariate control charts using artificial neural networks14 cited

2008Non-parametric Control Chart for Controlling Variability Based on Rank Test14 cited

2010Online intelligent monitoring and diagnosis of aircraft horizontal stabilizer assemble processes11 cited

2012Identifying the out-of-control variables of multivariate control chart using ensemble SVM classifiers9 cited