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On-line recognition of mixture control chart patterns using hybrid CNN and LSTM for auto-correlated processes
16 references·0 citing·37 second hop
On-line recognition of mixture control chart patterns using hybrid CNN and LSTM for auto-correlated processes (2024)On-line recognition of mixture control ch…Control chart recognition based on the parallel model of CNN and LSTM with GA optimization (2021)Control chart recognition bas…A cost-sensitive convolution neural network learning for control chart pattern recognition (2020)A cost-sensitive convolution …Statistical Process Control with Intelligence Based on the Deep Learning Model (2019)Statistical Process Control w…Control chart pattern recognition using the convolutional neural network (2019)Control chart pattern recogni…Recognition of mixture control chart patterns based on fusion feature reduction and fireworks algorithm-optimized MSVM (2018)Recognition of mixture contro…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…Identification of control chart patterns using wavelet filtering and robust fuzzy clustering (2007)Identification of control cha…A hybrid system for SPC concurrent pattern recognition (2007)A hybrid system for SPC concu…A hybrid learning-based model for on-line detection and analysis of control chart patterns (2005)A hybrid learning-based model…A control chart pattern recognition system using a statistical correlation coefficient method (2005)A control chart pattern recog…Identification of process disturbance using SPC/EPC and neural networks (2003)Identification of process dis…Recognition of control chart concurrent patterns using a neural network approach (1999)Recognition of control chart …On-line control chart pattern detection and discrimination—a neural network approach (1999)On-line control chart pattern…Statistical Process Monitoring and Feedback Adjustment: A Discussion (1992)Statistical Process Monitorin…Out of the Crisis (1982)Empirical Model Building and Response Surfaces (1988)Brocess capability with asymmetric tolerances (1994)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)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)Artificial neural networks to classify mean shifts from multivariate χ2 chart signals (2004)A study on the various features for effective control chart pattern recognition (2006)The Shewhart Control Chart—Tests for Special Causes (1984)A neural network approach for the analysis of control chart patterns (1997)Design and Analysis of Experiments (2001)Recognition of control chart patterns using fuzzy SVM with a hybrid kernel function (2015)A novel approach for recognition of control chart patterns: Type-2 fuzzy clustering optimized support vector machine (2016)Support vector machine in statistical process monitoring: a methodological and analytical review (2016)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)Introduction to Statistical Quality Control (2001)Support vector machine with adaptive parameters in financial time series forecasting (2003)Application of Machine Learning in Statistical Process Control Charts: A Survey and Perspective (2021)Control chart pattern recognition using learning vector quantization networks (1994)Feature-based recognition of control chart patterns (2006)An Improved Weighted Correlation Coefficient Based on Integrated Weight for Interval Neutrosophic Sets and its Application in Multi-criteria Decision-making Problems (2015)Control Chart Tests Based on Geometric Moving Averages (2000)Product backorder prediction using deep neural network on imbalanced data (2021)Improved SPC chart pattern recognition using statistical features (2003)Application of the PSO–SVM model for recognition of control chart patterns (2010)A decade of research on machine learning techniques for predicting employee turnover: A systematic literature review (2023)A neural network ensemble-based model for on-line monitoring and diagnosis of out-of-control signals in multivariate manufacturing processes (2007)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)Recognition of control chart patterns using improved selection of features (2008)
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References

  • 1992Statistical Process Monitoring and Feedback Adjustment: A Discussion331 cited
  • 2012A survey of control-chart pattern-recognition literature (1991–2010) based on a new conceptual classification scheme145 cited
  • 2019Control chart pattern recognition using the convolutional neural network114 cited
  • 2005A control chart pattern recognition system using a statistical correlation coefficient method114 cited
  • 1999Recognition of control chart concurrent patterns using a neural network approach111 cited
  • 2005A hybrid learning-based model for on-line detection and analysis of control chart patterns103 cited
  • 2020A cost-sensitive convolution neural network learning for control chart pattern recognition97 cited
  • 1999On-line control chart pattern detection and discrimination—a neural network approach81 cited
  • 2011Mixture control chart patterns recognition using independent component analysis and support vector machine77 cited
  • 2007A hybrid system for SPC concurrent pattern recognition74 cited
  • 2019Statistical Process Control with Intelligence Based on the Deep Learning Model61 cited
  • 2011Effective recognition of control chart patterns in autocorrelated data using a support vector machine based approach60 cited
  • 2003Identification of process disturbance using SPC/EPC and neural networks53 cited
  • 2007Identification of control chart patterns using wavelet filtering and robust fuzzy clustering

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53 cited
  • 2021Control chart recognition based on the parallel model of CNN and LSTM with GA optimization46 cited
  • 2018Recognition of mixture control chart patterns based on fusion feature reduction and fireworks algorithm-optimized MSVM43 cited
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