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An effective multivariate control chart for detecting small mean shifts using support vector data description
16 references·0 citing·44 second hop
An effective multivariate control chart for detecting small mean shifts using support vector data description (2018)An effective multivariate control chart f…Identification and quantification of concurrent control chart patterns using extreme-point symmetric mode decomposition and extreme learning machines (2014)Identification and quantifica…A new exponentially weighted moving average control chart for monitoring the coefficient of variation (2014)A new exponentially weighted …Recognition of concurrent control chart patterns using wavelet transform decomposition and multiclass support vector machines (2013)Recognition of concurrent con…Improved design of kernel distance–based charts using support vector methods (2013)Improved design of kernel dis…On-line classifying process mean shifts in multivariate control charts based on multiclass support vector machines (2012)On-line classifying process m…Minimal Euclidean distance chart based on support vector regression for monitoring mean shifts of auto-correlated processes (2012)Minimal Euclidean distance ch…An assessment of the kernel‐distance‐based multivariate control chart through an industrial application (2010)An assessment of the kernel‐d…Using an MQE chart based on a self-organizing map NN to monitor out-of-control signals in manufacturing processes (2008)Using an MQE chart based on a…On-line identification of control chart patterns using self-organizing approaches (2005)On-line identification of con…A kernel-distance-based multivariate control chart using support vector methods (2003)A kernel-distance-based multi…Kollár Ádám Ferenc levelezése (2000)Kollár Ádám Ferenc levelezéseNotes on the Shewhart Control Chart (1999)Notes on the Shewhart Control…A Multivariate Exponentially Weighted Moving Average Control Chart (1992)A Multivariate Exponentially …Comparisons of MultivariateCUSUMCharts (1990)Comparisons of MultivariateCU…Multivariate Generalizations of Cumulative Sum Quality-Control Schemes (1988)Multivariate Generalizations …Multivariate CUSUM Quality-Control Procedures (1985)Multivariate CUSUM Quality-Co…Simulation modelling and analysis (1983)Introduction to Statistical Quality Control (1992)Proceedings of the International Joint Conference on Neural Networks, 2003. (2003)A study on the various features for effective control chart pattern recognition (2006)Improved recognition of control chart patterns using artificial neural networks (2007)Statistical process control using optimized neural networks: A case study (2013)Quality Control and Industrial Statistics. (1967)The Shewhart Control Chart—Tests for Special Causes (1984)Statistical Quality Control (1990)Recognition of control chart patterns using fuzzy SVM with a hybrid kernel function (2015)Support vector machine in statistical process monitoring: a methodological and analytical review (2016)A New Automatic Method for Control Chart Patterns Recognition Based on ConvNet and Harris Hawks Meta Heuristic Optimization Algorithm (2019)An Approach to the Probability Distribution of Cusum Run Length (1972)Data quality for data science, predictive analytics, and big data in supply chain management: An introduction to the problem and suggestions for research and applications (2014)The Sharpe Ratio (1994)A Control Chart for the Coefficient of Variation (2007)Monitoring the Coefficient of Variation Using EWMA Charts (2011)A Control Chart for the Multivariate Coefficient of Variation (2015)New adaptive EWMA control charts for monitoring univariate and multivariate coefficient of variation (2019)Neural network systems with an integrated coefficient of variation-based feature selection for stock price and trend prediction (2023)Control Chart Tests Based on Geometric Moving Averages (1959)Exponentially Weighted Moving Average Control Schemes: Properties and Enhancements (1990)Control Chart Tests Based on Geometric Moving Averages (2000)Multivariate SPC Methods for Process and Product Monitoring (1996)A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting (1997)Research Issues and Ideas in Statistical Process Control (1999)Engineering model-based Bayesian monitoring of ramp-up phase of multistage manufacturing process (2015)Markov modeling and analysis of multi-stage manufacturing systems with remote quality information feedback (2015)CONTINUOUS INSPECTION SCHEMES (1954)Quality, productivity, and competitive position (1982)A Note on Multivariate CUSUM Procedures (1987)Regression Adjustment for Variables in Multivariate Quality Control (1993)Decomposition of T 2 for Multivariate Control Chart Interpretation (1995)A review of multivariate control charts (1995)Introduction to Statistical Quality Control (2001)One-class classification-based control charts for multivariate process monitoring (2009)A Multivariate Sign EWMA Control Chart (2011)Statistical Learning Methods Applied to Process Monitoring: An Overview and Perspective (2016)Multivariate SPC Charts for Monitoring Batch Processes (1995)A Review and Perspective on Control Charting with Image Data (2011)Some Current Directions in the Theory and Application of Statistical Process Monitoring (2014)Overview of PCA-Based Statistical Process-Monitoring Methods for Time-Dependent, High-Dimensional Data (2015)Designing a Multivariate EWMA Control Chart (1997)Multivariate Statistical Process Control Using LASSO (2009)
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References

  • 1992A Multivariate Exponentially Weighted Moving Average Control Chart1,231 cited
  • 1988Multivariate Generalizations of Cumulative Sum Quality-Control Schemes720 cited
  • 2000Kollár Ádám Ferenc levelezése613 cited
  • 1990Comparisons of MultivariateCUSUMCharts520 cited
  • 1985Multivariate CUSUM Quality-Control Procedures411 cited
  • 2003A kernel-distance-based multivariate control chart using support vector methods198 cited
  • 2014A new exponentially weighted moving average control chart for monitoring the coefficient of variation97 cited
  • 2013Recognition of concurrent control chart patterns using wavelet transform decomposition and multiclass support vector machines82 cited
  • 2005On-line identification of control chart patterns using self-organizing approaches55 cited
  • 2012On-line classifying process mean shifts in multivariate control charts based on multiclass support vector machines53 cited
  • 2012Minimal Euclidean distance chart based on support vector regression for monitoring mean shifts of auto-correlated processes46 cited
  • 2014Identification and quantification of concurrent control chart patterns using extreme-point symmetric mode decomposition and extreme learning machines45 cited
  • 2013Improved design of kernel distance–based charts using support vector methods41 cited
  • 2010An assessment of the kernel‐distance‐based multivariate control chart through an industrial application

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29 cited
  • 1999Notes on the Shewhart Control Chart24 cited
  • 2008Using an MQE chart based on a self-organizing map NN to monitor out-of-control signals in manufacturing processes22 cited
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