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A boosting approach for understanding out-of-control signals in multivariate control charts

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References

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1987Selecting Out of Control Variables With the T 2 Multivariate Quality Control Procedure120 cited
1996Contributors to a multivariate statistical process control chart signal119 cited
1999A neural network based model for abnormal pattern recognition of control charts115 cited
1995A Cumulative Sum Control Chart for Monitoring Process Variance113 cited

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1999

Recognition of control chart concurrent patterns using a neural network approach

111 cited

1996A neural fuzzy control chart for detecting and classifying process mean shifts90 cited

Cited by

2017Monitoring multivariate process variability via eigenvalues18 cited
2015Diagnosing the variance shifts signal in multivariate process control using ensemble classifiers17 cited
2014Interpreting out-of-control signals using instance-based bayesian classifier in multivariate statistical process control16 cited
2020Using Random Forest to Interpret Out-of-Control Signals11 cited
2012Identifying the out-of-control variables of multivariate control chart using ensemble SVM classifiers9 cited