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Denoising and feature extraction for control chart pattern recognition in autocorrelated processes
16 references·1 citing·32 second hop
Denoising and feature extraction for control chart pattern recognition in autocorrelated processes (2008)Denoising and feature extraction for cont…A control chart pattern recognition system using a statistical correlation coefficient method (2005)A control chart pattern recog…Wavelet-based multiscale statistical process monitoring: A literature review (2004)Wavelet-based multiscale stat…Detecting process mean shift in the presence of autocorrelation: a neural-network based monitoring scheme (2004)Detecting process mean shift …Multiscale SPC using wavelets: Theoretical analysis and properties (2003)Multiscale SPC using wavelets…Improved SPC chart pattern recognition using statistical features (2003)Improved SPC chart pattern re…A neural network based model for abnormal pattern recognition of control charts (1999)A neural network based model …A neural network approach to characterize pattern parameters in process control charts (1999)A neural network approach to …Using radial basis function neural networks to recognize shifts in correlated manufacturing process parameters (1998)Using radial basis function n…A review of neural networks for statistical process control (1998)A review of neural networks f…Feature-based control chart pattern recognition (1997)Feature-based control chart p…A neural network approach for the analysis of control chart patterns (1997)A neural network approach for…X -bar and R control chart interpretation using neural computing (1994)X -bar and R control chart in…Control chart pattern recognition using learning vector quantization networks (1994)Control chart pattern recogni…Introduction to Statistical Quality Control (1992)Introduction to Statistical Q…The Shewhart Control Chart—Tests for Special Causes (1984)The Shewhart Control Chart—Te…Introduction to Random Vibrations (1983)Introduction to Random Vibrat…A support vector machine-based pattern recognizer using selected features for control chart patterns analysis (2009)A support vector machine-base…Time Series Analysis: Forecasting and Control (1977)The Exponentially Weighted Moving Average (1986)A Multivariate Exponentially Weighted Moving Average Control Chart (1992)Decision tree based control chart pattern recognition (2008)Statistical process control for monitoring non-linear profiles using wavelet filtering and B-Spline approximation (2008)Big Data? Statistical Process Control Can Help! (2019)Design of Experiments (1936)Taguchi Techniques for Quality Engineering (1989)Application of the PSO–SVM model for recognition of control chart patterns (2010)A survey of control-chart pattern-recognition literature (1991–2010) based on a new conceptual classification scheme (2012)Control chart pattern recognition using the convolutional neural network (2019)Economic Control of Quality of Manufactured Product. (1932)Economic prediction using neural networks: the case of IBM daily stock returns (1988)A neural network approach to mutual fund net asset value forecasting (1996)Proceedings of the International Joint Conference on Neural Networks, 2003. (2003)A neural network ensemble-based model for on-line monitoring and diagnosis of out-of-control signals in multivariate manufacturing processes (2007)One-class classification-based control charts for multivariate process monitoring (2009)Quality, productivity, and competitive position (1982)The Effect of Sample Size on Estimated Limits forXandXControl Charts (1993)Risks and decisions for conservation and environmental management (2005)Risks and Decisions for Conservation and Environmental Management (2005)Statistical Quality Control (1990)Designing production systems for quality: Research opportunities from an automotive industry perspective (2003)A hybrid learning-based model for on-line detection and analysis of control chart patterns (2005)On the numerical solution of the Fokker-Planck equation for nonlinear stochastic systems (1993)Stochastic Dynamics and Control (2006)Assessment of spectral representation and Karhunen–Loève expansion methods for the simulation of Gaussian stochastic fields (2007)Control chart pattern recognition using RBF neural network with new training algorithm and practical features (2018)A cost-sensitive convolution neural network learning for control chart pattern recognition (2020)Time-Series Modeling for Statistical Process Control (1988)Statistical process control as a tool for research and healthcare improvement (2003)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)
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References

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  • 1983Introduction to Random Vibrations433 cited
  • 2003Improved SPC chart pattern recognition using statistical features175 cited
  • 1997A neural network approach for the analysis of control chart patterns169 cited
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  • 1994Control chart pattern recognition using learning vector quantization networks140 cited
  • 1994X -bar and R control chart interpretation using neural computing133 cited
  • 1997Feature-based control chart pattern recognition130 cited
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  • 2005A control chart pattern recognition system using a statistical correlation coefficient method114 cited
  • 2003Multiscale SPC using wavelets: Theoretical analysis and properties91 cited
  • 1998Using radial basis function neural networks to recognize shifts in correlated manufacturing process parameters82 cited
  • 1999A neural network approach to characterize pattern parameters in process control charts

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73 cited
  • 2004Detecting process mean shift in the presence of autocorrelation: a neural-network based monitoring scheme64 cited
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    • 2009A support vector machine-based pattern recognizer using selected features for control chart patterns analysis10 cited