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Shift detection and source identification in multivariate autocorrelated processes

16 references·16 citing·30 second hopsampled

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References

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1994

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X -bar and R control chart interpretation using neural computing

133 cited

Cited by

2015The effect of the autocorrelation on the performance of the T 2 chart36 cited
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2021A robust meta‐method for interpreting the out‐of‐control signal of multivariate control charts using artificial neural networks14 cited
2022An Improved Hidden Markov Model for Monitoring the Process with Autocorrelated Observations11 cited
2014Simultaneous Univariate X_bar Charts to Control Bivariate Processes with Autocorrelated Data11 cited
2015Simultaneous Monitoring of Multivariate-Attribute Process Mean and Variability Using Artificial Neural Networks10 cited
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