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A One-Class Classification-Based Control Chart Using the K -Means Data Description Algorithm
14 references·0 citing·38 second hop
A One-Class Classification-Based Control Chart Using the K -Means Data Description Algorithm (2014)A One-Class Classification-Based Control …Performance Evaluation of One‐Class Classification‐based Control Charts through an Industrial Application (2012)Performance Evaluation of One…Integration of classification algorithms and control chart techniques for monitoring multivariate processes (2011)Integration of classification…Data mining model-based control charts for multivariate and autocorrelated processes (2011)Data mining model-based contr…Support vector regression based residual control charts (2010)Support vector regression bas…One-Class Classification-Based Control Charts for Monitoring Autocorrelated Multivariate Processes (2010)One-Class Classification-Base…An assessment of the kernel‐distance‐based multivariate control chart through an industrial application (2010)An assessment of the kernel‐d…One-class classification-based control charts for multivariate process monitoring (2009)One-class classification-base…Robust kernel distance multivariate control chart using support vector principles (2008)Robust kernel distance multiv…Tuned artificial contrasts to detect signals (2007)Tuned artificial contrasts to…Multivariate statistical process control with artificial contrasts (2007)Multivariate statistical proc…Kernel distance-based robust support vector methods and its application in developing a robust K-chart (2005)Kernel distance-based robust …A kernel-distance-based multivariate control chart using support vector methods (2003)A kernel-distance-based multi…Support vector machines for recognizing shifts in correlated and other manufacturing processes (2002)Support vector machines for r…Using radial basis function neural networks to recognize shifts in correlated manufacturing process parameters (1998)Using radial basis function n…Multivariate Quality Control Based on Regression-Adjusted Variables (1991)Introduction to Statistical Quality Control (1992)Multivariate SPC Methods for Process and Product Monitoring (1996)Scenario simulation of urban energy-related CO2 emissions by coupling the socioeconomic factors and spatial structures (2019)Machine learning-based control charts for monitoring fraction nonconforming product in smart manufacturing (2022)Adaptive EWMA control chart by using support vector regression (2024)Introduction to Statistical Quality Control (2005)Optimal T2 Control Chart with a Double Sampling Scheme – An Alternative to the MEWMA Chart (2011)Time-adaptive support vector data description for nonstationary process monitoring (2017)One‐sided control chart based on support vector machines with differential evolution algorithm (2019)Multivariate Quality Control-illustrated by the air testing of sample bombsights (1947)Gower distance-based multivariate control charts for a mixture of continuous and categorical variables (2013)Statistical Perspectives on “Big Data” (2015)Transparent Sequential Learning for Statistical Process Control of Serially Correlated Data (2021)A review of multivariate control charts (1995)System Monitoring with Real-Time Contrasts (2012)Statistical Learning Methods Applied to Process Monitoring: An Overview and Perspective (2016)Support vector machine in statistical process monitoring: a methodological and analytical review (2016)Time Series Analysis: Forecasting and Control (1977)Time Series Analysis: Forecasting and Control (1977)Forecasting methods and applications (1993)Recognition of concurrent control chart patterns using wavelet transform decomposition and multiclass support vector machines (2013)Time Series Analysis: Forecasting and Control. (1978)Time series analysis forecasting and control (2009)A robust unsupervised consensus control chart pattern recognition framework (2015)Adaptive nonparametric control chart for time-varying and multimodal processes (2015)Exponentially weighted control charts to monitor multivariate process variability for high dimensions (2017)Time-Series Modeling for Statistical Process Control (1988)Introduction to Statistical Quality Control (2001)Support vector regression based residual MCUSUM control chart for autocorrelated process (2008)Integration of support vector machines and control charts for multivariate process monitoring (2010)Minimal Euclidean distance chart based on support vector regression for monitoring mean shifts of auto-correlated processes (2012)A Multivariate Exponentially Weighted Moving Average Control Chart (1992)Monitoring multivariate process variability with individual observations via penalised likelihood estimation (2012)Nonparametric monitoring of multivariate data via KNN learning (2020)A novel two-stage hybrid default prediction model with k-means clustering and support vector domain description (2021)Mixture control chart patterns recognition using independent component analysis and support vector machine (2011)A Multivariate Sign EWMA Control Chart (2011)
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References

  • 2003A kernel-distance-based multivariate control chart using support vector methods198 cited
  • 2009One-class classification-based control charts for multivariate process monitoring122 cited
  • 1998Using radial basis function neural networks to recognize shifts in correlated manufacturing process parameters82 cited
  • 2002Support vector machines for recognizing shifts in correlated and other manufacturing processes78 cited
  • 2007Multivariate statistical process control with artificial contrasts54 cited
  • 2008Robust kernel distance multivariate control chart using support vector principles54 cited
  • 2005Kernel distance-based robust support vector methods and its application in developing a robust K-chart53 cited
  • 2010Support vector regression based residual control charts35 cited
  • 2011Data mining model-based control charts for multivariate and autocorrelated processes33 cited
  • 2010An assessment of the kernel‐distance‐based multivariate control chart through an industrial application29 cited
  • 2007Tuned artificial contrasts to detect signals25 cited
  • 2011Integration of classification algorithms and control chart techniques for monitoring multivariate processes22 cited
  • 2010One-Class Classification-Based Control Charts for Monitoring Autocorrelated Multivariate Processes22 cited
  • 2012Performance Evaluation of One‐Class Classification‐based Control Charts through an Industrial Application

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