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An artificial Neural Network approach to monitor and diagnose multi-attribute quality control processes
16 references·1 citing·36 second hop
An artificial Neural Network approach to monitor and diagnose multi-attribute quality control processes (2007)An artificial Neural Network approach to …Bootstrap method approach in designing multi-attribute control charts (2006)Bootstrap method approach in …Fault Diagnosis in Multivariate Control Charts Using Artificial Neural Networks (2005)Fault Diagnosis in Multivaria…An optimal design of multiattribute control charts for processes subject to a multiplicity of assignable causes (2000)An optimal design of multiatt…A two-stage neural network approach for process variance change detection and classification (1999)A two-stage neural network ap…A neural network based model for abnormal pattern recognition of control charts (1999)A neural network based model …Control chart for multivariate attribute processes (1998)Control chart for multivariat…A neural fuzzy control chart for detecting and classifying process mean shifts (1996)A neural fuzzy control chart …A multi-layer neural network model for detecting changes in the process mean (1995)A multi-layer neural network …X¯ CONTROL CHART PATTERN IDENTIFICATION THROUGH EFFICIENT OFF-LINE NEURAL NETWORK TRAINING (1993)X¯ CONTROL CHART PATTERN IDEN…Identification of change structure in statistical process control (1992)Identification of change stru…A comparison of neural networks to SPC charts (1991)A comparison of neural networ…Synthetic neural networks for process control (1989)Synthetic neural networks for…Monitoring Multinomial Processes (1985)Monitoring Multinomial Proces…Economic Design of Attribute Control Charts for Multiple Assignable Causes (1981)Economic Design of Attribute …Economically Optimal Determination of the Parameters of np -Control Charts (1978)Economically Optimal Determin…Quality Control Methods for Multivariate Binomial and Poisson Distributions (1973)Quality Control Methods for M…Step change-point estimation of multivariate binomial processes (2014)Step change-point estimation …Quality Control and Industrial Statistics. (1975)Control Charts Based on Attribute Data: Bibliography and Review (1997)α-Cut fuzzy control charts for linguistic data (2004)Review of multinomial and multiattribute quality control charts (2009)Exponentially Weighted Moving Average Control Schemes: Properties and Enhancements (1990)Introduction to Statistical Quality Control (1992)Introduction to Statistical Quality Control (1992)A neural network ensemble-based model for on-line monitoring and diagnosis of out-of-control signals in multivariate manufacturing processes (2007)A survey of control-chart pattern-recognition literature (1991–2010) based on a new conceptual classification scheme (2012)Recognition of concurrent control chart patterns using wavelet transform decomposition and multiclass support vector machines (2013)CONTINUOUS INSPECTION SCHEMES (1954)Control Chart Tests Based on Geometric Moving Averages (1959)A review of neural networks for statistical process control (1998)Multivariate SPC Charts for Monitoring Batch Processes (1995)Kollár Ádám Ferenc levelezése (2000)Designing production systems for quality: Research opportunities from an automotive industry perspective (2003)Attribute Control Chart for Multivariate Poisson Distribution (2007)The Shewhart Control Chart—Tests for Special Causes (1984)Interpreting Shewhart X Control Charts (1985)Back-propagation pattern recognizers for control charts: Methodology and performance (1993)Modern factor analysis (1960)Modern Factor Analysis (1968)Latent Structure Analysis. (1969)Statistical Quality Control Methods in Infection Control and Hospital Epidemiology, Part II: Chart Use, Statistical Properties, and Research Issues (1998)An Extension of the MOSUM Technique for Quality Control (1980)Self-Starting Cusum Charts for Location and Scale (1987)An Enhanced Quality Evaluation System for Continuous Manufacturing Processes, Part 1: Theory (1990)X -bar and R control chart interpretation using neural computing (1994)Simulation Modeling and Analysis. (1983)Statistical Quality Control (1989)Statistical Quality Control (1990)A control chart pattern recognition system using a statistical correlation coefficient method (2005)Fuzzy sets (1965)Fuzzy sets (1996)An alternative approach to fuzzy control charts: Direct fuzzy approach (2006)Exact Results for Shewhart Control Charts With Supplementary Runs Rules (1987)
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References

  • 1995A multi-layer neural network model for detecting changes in the process mean145 cited
  • 1998Control chart for multivariate attribute processes132 cited
  • 2005Fault Diagnosis in Multivariate Control Charts Using Artificial Neural Networks130 cited
  • 1985Monitoring Multinomial Processes124 cited
  • 1999A neural network based model for abnormal pattern recognition of control charts115 cited
  • 1973Quality Control Methods for Multivariate Binomial and Poisson Distributions111 cited
  • 1993X¯ CONTROL CHART PATTERN IDENTIFICATION THROUGH EFFICIENT OFF-LINE NEURAL NETWORK TRAINING104 cited
  • 1992Identification of change structure in statistical process control99 cited
  • 1996A neural fuzzy control chart for detecting and classifying process mean shifts90 cited
  • 1989Synthetic neural networks for process control88 cited
  • 1991A comparison of neural networks to SPC charts85 cited
  • 1978Economically Optimal Determination of the Parameters of np -Control Charts72 cited
  • 1999A two-stage neural network approach for process variance change detection and classification57 cited
  • 1981Economic Design of Attribute Control Charts for Multiple Assignable Causes37 cited
  • 2000An optimal design of multiattribute control charts for processes subject to a multiplicity of assignable causes

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31 cited
  • 2006Bootstrap method approach in designing multi-attribute control charts30 cited
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    • 2014Step change-point estimation of multivariate binomial processes5 cited