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A hybrid method for estimating the process change point using support vector machine and fuzzy statistical clustering
16 references·3 citing·32 second hop
A hybrid method for estimating the process change point using support vector machine and fuzzy statistical clustering (2015)A hybrid method for estimating the proces…A survey of control-chart pattern-recognition literature (1991–2010) based on a new conceptual classification scheme (2012)A survey of control-chart pat…Mixture control chart patterns recognition using independent component analysis and support vector machine (2011)Mixture control chart pattern…Control chart pattern recognition using K-MICA clustering and neural networks (2011)Control chart pattern recogni…Change Point Estimation Methods for Control Chart Postsignal Diagnostics: A Literature Review (2011)Change Point Estimation Metho…Application of the PSO–SVM model for recognition of control chart patterns (2010)Application of the PSO–SVM mo…A hybrid fuzzy-statistical clustering approach for estimating the time of changes in fixed and variable sampling control charts (2009)A hybrid fuzzy-statistical cl…Recognition of control chart patterns using improved selection of features (2008)Recognition of control chart …Estimation of the Change Point of a Normal Process Mean with a Linear Trend Disturbance in SPC (2006)Estimation of the Change Poin…Introduction to Statistical Quality Control (2005)Introduction to Statistical Q…Improved SPC chart pattern recognition using statistical features (2003)Improved SPC chart pattern re…IDENTIFYING THE TIME OF A STEP CHANGE WITH X¯ CONTROL CHARTS (1998)IDENTIFYING THE TIME OF A STE…IDENTIFYING THE TIME OF A STEP CHANGE IN A NORMAL PROCESS VARIANCE (1998)IDENTIFYING THE TIME OF A STE…Feature-based control chart pattern recognition (1997)Feature-based control chart p…Introduction to Statistical Quality Control (1992)Introduction to Statistical Q…A comparison of control charts from the viewpoint of change‐point estimation (1992)A comparison of control chart…On the construction of control charts using linguistic variables (1990)On the construction of contro…Adaptive Shewhart Control Charts Under Fuzzy Parameters with Tuned Particle Swarm Optimization Algorithm (2021)Adaptive Shewhart Control Cha…Identification of patterns in control charts for processes with statistically correlated noise (2017)Identification of patterns in…A variance change point estimation method based on intelligent ensemble model for quality fluctuation analysis (2016)A variance change point estim…The Shewhart Control Chart—Tests for Special Causes (1984)Introduction to Statistical Quality Control (2001)Recognition of concurrent control chart patterns using wavelet transform decomposition and multiclass support vector machines (2013)A New Automatic Method for Control Chart Patterns Recognition Based on ConvNet and Harris Hawks Meta Heuristic Optimization Algorithm (2019)A cost-sensitive convolution neural network learning for control chart pattern recognition (2020)CONTINUOUS INSPECTION SCHEMES (1954)Statistical Methods for Quality Improvement (2000)A distance-based control chart for monitoring multivariate processes using support vector machines (2016)Monitoring linear profiles using Artificial Neural Networks with run rules (2020)Monitoring univariate processes using control charts: Some practical issues and advice (2023)Design of Experiments (1936)Taguchi Techniques for Quality Engineering (1989)Control chart pattern recognition using the convolutional neural network (2019)Fuzzy sets (1965)Quality Control and Industrial Statistics. (1967)Control charts for process average and variability based on linguistic data (1993)Fuzzy set theory applications in production management research: a literature survey (1998)Fuzzy process control: construction of control charts with fuzzy numbers (2005)Economic Control of Quality of Manufactured Product. (1932)Control Chart Tests Based on Geometric Moving Averages (1959)Measurement errors in statistical process monitoring: A literature review (2016)Understanding the impacts of mobile phone distraction on driving performance: A systematic review (2016)Inference About the Change-Point in a Sequence of Random Variables (1970)Introduction to Statistical Quality Control (1997)Estimation of the Change Point of a Normal Process Mean in SPC Applications (2001)Control chart pattern recognition using RBF neural network with new training algorithm and practical features (2018)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)A control chart based on a change-point model for monitoring linear profiles (2006)Effects of Parameter Estimation on Control Chart Properties: A Literature Review (2006)An overview of theory and practice on process capability indices for quality assurance (2008)
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References

  • 1992Introduction to Statistical Quality Control7,842 cited
  • 2005Introduction to Statistical Quality Control954 cited
  • 2003Improved SPC chart pattern recognition using statistical features175 cited
  • 1990On the construction of control charts using linguistic variables152 cited
  • 2010Application of the PSO–SVM model for recognition of control chart patterns148 cited
  • 2012A survey of control-chart pattern-recognition literature (1991–2010) based on a new conceptual classification scheme145 cited
  • 1998IDENTIFYING THE TIME OF A STEP CHANGE WITH X¯ CONTROL CHARTS142 cited
  • 1997Feature-based control chart pattern recognition130 cited
  • 2008Recognition of control chart patterns using improved selection of features97 cited
  • 2011Change Point Estimation Methods for Control Chart Postsignal Diagnostics: A Literature Review93 cited
  • 1992A comparison of control charts from the viewpoint of change‐point estimation89 cited
  • 1998IDENTIFYING THE TIME OF A STEP CHANGE IN A NORMAL PROCESS VARIANCE81 cited
  • 2011Mixture control chart patterns recognition using independent component analysis and support vector machine77 cited
  • 2011Control chart pattern recognition using K-MICA clustering and neural networks65 cited

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2006
Estimation of the Change Point of a Normal Process Mean with a Linear Trend Disturbance in SPC
65 cited
  • 2009A hybrid fuzzy-statistical clustering approach for estimating the time of changes in fixed and variable sampling control charts62 cited
  • Cited by

    • 2017Identification of patterns in control charts for processes with statistically correlated noise21 cited
    • 2016A variance change point estimation method based on intelligent ensemble model for quality fluctuation analysis21 cited
    • 2021Adaptive Shewhart Control Charts Under Fuzzy Parameters with Tuned Particle Swarm Optimization Algorithm13 cited