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Research on Fault Diagnosis of Flexible Material R2R Manufacturing System Based on Quality Control Chart and SoV
6 references·0 citing·31 second hopsampled
Research on Fault Diagnosis of Flexible Material R2R Manufacturing System Based on Quality Control Chart and SoV (2018)Research on Fault Diagnosis of Flexible M…Multivariate nonparametric control chart with variable sampling interval (2017)Multivariate nonparametric co…Risk-based multivariate control chart (2016)Risk-based multivariate contr…A novel approach for recognition of control chart patterns: Type-2 fuzzy clustering optimized support vector machine (2016)A novel approach for recognit…On efficient use of auxiliary information for control charting in SPC (2013)On efficient use of auxiliary…Application of copulas to multivariate control charts (2013)Application of copulas to mul…Distribution-free exponentially weighted moving average control charts for monitoring unknown location (2012)Distribution-free exponential…Control Chart Tests Based on Geometric Moving Averages (1959)An Approach to the Probability Distribution of Cusum Run Length (1972)Exponentially Weighted Moving Average Control Schemes: Properties and Enhancements (1990)Distribution-Free Exceedance CUSUM Control Charts for Location (2012)Robust CUSUM Control Charting (2013)Design and implementation of CUSUM exceedance control charts for unknown location (2014)Economic control of quality of manufactured product (1932)Economic Control of Quality of Manufactured Product. (1932)Introduction to Statistical Quality Control (1992)An EWMA monitoring scheme with a single auxiliary variable for industrial processes (2017)Combined Shewhart CUSUM charts using auxiliary variable (2017)A Multivariate Homogeneously Weighted Moving Average Control Chart (2019)A Semiparametric Estimation Procedure of Dependence Parameters in Multivariate Families of Distributions (1995)An Introduction to Copulas (1999)Bivariate copulas on the Hotelling's T2 control chart (2016)Copula-based monitoring schemes for non-Gaussian multivariate processes (2019)Some robust approaches based on copula for monitoring bivariate processes and component-wise assessment (2020)Feature-based control chart pattern recognition (1997)Improved SPC chart pattern recognition using statistical features (2003)Improved statistical features-based control chart patterns recognition using ANFIS with fuzzy clustering (2018)Recognition of mixture control chart patterns based on fusion feature reduction and fireworks algorithm-optimized MSVM (2018)Control chart recognition based on the parallel model of CNN and LSTM with GA optimization (2021)Guidelines for evaluating and expressing the uncertainty of NIST measurement results (2018)Product reliability–oriented optimization design of time-between-events control chart system for high-quality manufacturing processes (2019)On the multivariate progressive control chart for effective monitoring of covariance matrix (2021)Pattern recognition of control charts based on data feature enhancement and ensemble learning of classifiers for dimensional accuracy of products (2024)$\overline{X}$ Charts with Variable Sampling Intervals (1988)Nonparametric Control Charts: An Overview and Some Results (2001)A multivariate CUSUM control chart for monitoring Gumbel's bivariate exponential data (2020)A monitoring framework for health care processes using Generalized Additive Models and Auto-Encoders (2023)A nonparametric adaptive EWMA control chart for monitoring mixed continuous and categorical data using self-starting strategy (2024)
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References

  • 2012Distribution-free exponentially weighted moving average control charts for monitoring unknown location100 cited
  • 2013On efficient use of auxiliary information for control charting in SPC65 cited
  • 2016A novel approach for recognition of control chart patterns: Type-2 fuzzy clustering optimized support vector machine56 cited
  • 2017Multivariate nonparametric control chart with variable sampling interval34 cited
  • 2013Application of copulas to multivariate control charts33 cited
  • 2016Risk-based multivariate control chart18 cited

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