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Recognition of Process Disturbances for an SPC/EPC Stochastic System Using Support Vector Machine and Artificial Neural Network Approaches
16 references·0 citing·35 second hop
Recognition of Process Disturbances for an SPC/EPC Stochastic System Using Support Vector Machine and Artificial Neural Network Approaches (2014)Recognition of Process Disturbances for a…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…Effective recognition of control chart patterns in autocorrelated data using a support vector machine based approach (2011)Effective recognition of cont…Recognition of control chart patterns using improved selection of features (2008)Recognition of control chart …Designing a multivariate–multistage quality control system using artificial neural networks (2008)Designing a multivariate–mult…Identification of control chart patterns using wavelet filtering and robust fuzzy clustering (2007)Identification of control cha…Feature-based recognition of control chart patterns (2006)Feature-based recognition of …On-line identification of control chart patterns using self-organizing approaches (2005)On-line identification of con…Identification of process disturbance using SPC/EPC and neural networks (2003)Identification of process dis…A mean-shift pattern study on integration of SPC and APC for process monitoring (2003)A mean-shift pattern study on…The GLRT for statistical process control of autocorrelated processes (1999)The GLRT for statistical proc…Recognition of control chart concurrent patterns using a neural network approach (1999)Recognition of control chart …SPC with correlated observations for the chemical and process industries (1995)SPC with correlated observati…Statistical Process Monitoring and Feedback Adjustment: A Discussion (1992)Statistical Process Monitorin…[Statistical Process Monitoring and Feedback Adjustment]: Discussion (1992)[Statistical Process Monitori…Some Statistical Process Control Methods for Autocorrelated Data (1991)Some Statistical Process Cont…Time Series Analysis: Forecasting and Control (1977)Exponentially Weighted Moving Average Control Schemes: Properties and Enhancements (1990)Introduction to Statistical Quality Control (1992)Brocess capability with asymmetric tolerances (1994)Research Issues and Ideas in Statistical Process Control (1999)Controversies and Contradictions in Statistical Process Control (2000)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)Out of the Crisis (1982)Empirical Model Building and Response Surfaces (1988)Run by run process control: combining SPC and feedback control (1995)Time Series Analysis, Forecasting, and Control (1995)Monitoring Processes That Wander Using Integrated Moving Average Models (1996)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)Control chart pattern recognition using the convolutional neural network (2019)Time Series Analysis: Forecasting and Control (1977)Joint Estimation: SPC Method for Short-Run Autocorrelated Data (2001)A generalized EWMA control chart and its comparison with the optimal EWMA, CUSUM and GLR schemes (2004)Multiscale statistical process control using wavelet packets (2008)Support vector machine with adaptive parameters in financial time series forecasting (2003)Support vector machine in statistical process monitoring: a methodological and analytical review (2016)Predicting property price index using artificial intelligence techniques (2019)Application of Machine Learning in Statistical Process Control Charts: A Survey and Perspective (2021)Statistical Quality Control (1990)Time Series Analysis: Forecasting and Control. (1978)The AutoregressiveT2 Chart for Monitoring Univariate Autocorrelated Processes (2002)Optimal Design of a CUSUM Chart for a Mean Shift of Unknown Size (2010)A hybrid learning-based model for on-line detection and analysis of control chart patterns (2005)Algorithmic Statistical Process Control: Concepts and an Application (1992)
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References

  • 1991Some Statistical Process Control Methods for Autocorrelated Data604 cited
  • 1992Statistical Process Monitoring and Feedback Adjustment: A Discussion331 cited
  • 1992[Statistical Process Monitoring and Feedback Adjustment]: Discussion318 cited
  • 2012A survey of control-chart pattern-recognition literature (1991–2010) based on a new conceptual classification scheme145 cited
  • 1999The GLRT for statistical process control of autocorrelated processes144 cited
  • 1999Recognition of control chart concurrent patterns using a neural network approach111 cited
  • 2008Recognition of control chart patterns using improved selection of features97 cited
  • 2006Feature-based recognition of control chart patterns89 cited
  • 2011Mixture control chart patterns recognition using independent component analysis and support vector machine77 cited
  • 1995SPC with correlated observations for the chemical and process industries77 cited
  • 2003A mean-shift pattern study on integration of SPC and APC for process monitoring65 cited
  • 2011Effective recognition of control chart patterns in autocorrelated data using a support vector machine based approach60 cited
  • 2008Designing a multivariate–multistage quality control system using artificial neural networks57 cited
  • 2005On-line identification of control chart patterns using self-organizing approaches

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55 cited
  • 2003Identification of process disturbance using SPC/EPC and neural networks53 cited
  • 2007Identification of control chart patterns using wavelet filtering and robust fuzzy clustering53 cited
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