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Identification of change structure in statistical process control
1 references·16 citing·41 second hop
Identification of change structure in statistical process control (1992)Identification of change structure in sta…Self-Starting Cusum Charts for Location and Scale (1987)Self-Starting Cusum Charts fo…Application of Machine Learning in Statistical Process Control Charts: A Survey and Perspective (2021)Application of Machine Learni…Control chart pattern recognition using K-MICA clustering and neural networks (2011)Control chart pattern recogni…Control chart pattern recognition using an optimized neural network and efficient features (2010)Control chart pattern recogni…Control chart pattern recognition using a novel hybrid intelligent method (2010)Control chart pattern recogni…Support vector regression based residual MCUSUM control chart for autocorrelated process (2008)Support vector regression bas…Designing a multivariate–multistage quality control system using artificial neural networks (2008)Designing a multivariate–mult…A neural network applied to estimate process capability of non-normal processes (2008)A neural network applied to e…Artificial neural networks in applying MCUSUM residuals charts for AR(1) processes (2007)Artificial neural networks in…Artificial neural networks to classify mean shifts from multivariate χ2 chart signals (2004)Artificial neural networks to…Mean shifts detection and classification in multivariate process: a neural-fuzzy approach (2002)Mean shifts detection and cla…Control chart pattern recognition using back propagation artificial neural networks (2001)Control chart pattern recogni…On-line control chart pattern detection and discrimination—a neural network approach (1999)On-line control chart pattern…A neural network approach to characterize pattern parameters in process control charts (1999)A neural network approach to …AN UNSUPERVISED LEARNING NEURAL ALGORITHM FOR IDENTIFYING PROCESS BEHAVIOR ON CONTROL CHARTS AND A COMPARISON WITH SUPERVISED LEARNING APPROACHES (1997)AN UNSUPERVISED LEARNING NEUR…A neural fuzzy control chart for detecting and classifying process mean shifts (1996)A neural fuzzy control chart …Detecting process non-randomness through a fast and cumulative learning ART-based pattern recognizer (1995)Detecting process non-randomn…Multivariate Generalizations of Cumulative Sum Quality-Control Schemes (1988)A Multivariate Exponentially Weighted Moving Average Control Chart (1992)On-line identification of control chart patterns using self-organizing approaches (2005)Online monitoring and fault identification of mean shifts in bivariate processes using decision tree learning techniques (2011)The International Journal of Production Research (2013)Process Capability Indices (1986)Process Capability Calculations for Non-Normal Distributions (1989)Process Capability Indices. (1995)Development of fuzzy process accuracy index for decision making problems (2009)A capability approach to evaluate supply chain flexibility (2015)Six Sigma performance for non-normal processes (2015)Quality Control and Industrial Statistics. (1967)Statistical Quality Control (1990)Introduction to Statistical Quality Control (1992)Robustness of the neural network based control chart pattern recognition system to non‐normality (2002)A study on the various features for effective control chart pattern recognition (2006)A control chart pattern recognition system using a statistical correlation coefficient method (2005)Introduction to Statistical Quality Control (2005)Statistical process control using optimized neural networks: A case study (2013)Control chart patterns recognition using ANFIS with new training algorithm and intelligent utilization of shape and statistical features (2019)Control chart recognition based on the parallel model of CNN and LSTM with GA optimization (2021)Fuzzy sets (1965)Fuzzy sets (1996)On‐line Identification and Quantification of Mean Shifts in Bivariate Processes using a Neural Network‐based Approach (2006)A review of multivariate control charts (1995)An effective application of decision tree learning for on-line detection of mean shifts in multivariate control charts (2008)The Shewhart Control Chart—Tests for Special Causes (1984)Recognition of control chart patterns using fuzzy SVM with a hybrid kernel function (2015)Time Series Analysis Forecasting and Control (1971)Time Series Analysis: Forecasting and Control (1977)Designing a neural network for forecasting financial and economic time series (1996)The use of neural networks in statistical process control charts (2011)Monitoring multivariate process variability with individual observations via penalised likelihood estimation (2012)Engineering model-based Bayesian monitoring of ramp-up phase of multistage manufacturing process (2015)Economic control of quality of manufactured product (1932)Economic Control of Quality of Manufactured Product. (1932)A neural network approach for the analysis of control chart patterns (1997)Improved recognition of control chart patterns using artificial neural networks (2007)A control chart based on a change-point model for monitoring linear profiles (2006)Nonparametric Monitoring of Data Streams for Changes in Location and Scale (2011)The Difficulty in Designing Shewhart X and X Control Charts with Estimated Parameters (2015)
this work references cited by second hop

References

  • 1987Self-Starting Cusum Charts for Location and Scale210 cited

Cited by

  • 1996A neural fuzzy control chart for detecting and classifying process mean shifts90 cited
  • 1999On-line control chart pattern detection and discrimination—a neural network approach81 cited
  • 1999A neural network approach to characterize pattern parameters in process control charts73 cited
  • 2004Artificial neural networks to classify mean shifts from multivariate χ2 chart signals72 cited
  • 2001Control chart pattern recognition using back propagation artificial neural networks68 cited
  • 2002Mean shifts detection and classification in multivariate process: a neural-fuzzy approach67 cited
  • 2011Control chart pattern recognition using K-MICA clustering and neural networks65 cited
  • 2008A neural network applied to estimate process capability of non-normal processes63 cited
  • 2008Designing a multivariate–multistage quality control system using artificial neural networks57 cited
  • 2010Control chart pattern recognition using a novel hybrid intelligent method55 cited
  • 2021Application of Machine Learning in Statistical Process Control Charts: A Survey and Perspective52 cited
  • 1995Detecting process non-randomness through a fast and cumulative learning ART-based pattern recognizer52 cited
  • 2007

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Artificial neural networks in applying MCUSUM residuals charts for AR(1) processes
47 cited
  • 1997AN UNSUPERVISED LEARNING NEURAL ALGORITHM FOR IDENTIFYING PROCESS BEHAVIOR ON CONTROL CHARTS AND A COMPARISON WITH SUPERVISED LEARNING APPROACHES46 cited
  • 2010Control chart pattern recognition using an optimized neural network and efficient features44 cited
  • 2008Support vector regression based residual MCUSUM control chart for autocorrelated process43 cited