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Data mining model-based control charts for multivariate and autocorrelated processes

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References

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2015A robust unsupervised consensus control chart pattern recognition framework29 cited
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2013A Framework for Diagnosing the Out-of-Control Signals in Multivariate Process Using Optimized Support Vector Machines17 cited
2016Phase II control charts for autocorrelated processes17 cited
2024On-line recognition of mixture control chart patterns using hybrid CNN and LSTM for auto-correlated processes12 cited
2014A One-Class Classification-Based Control Chart Using the K -Means Data Description Algorithm12 cited
2023Root cause analysis of an out-of-control process using a logical analysis of data regression model and exponential weighted moving average11 cited
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