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Control Chart Pattern Recognition Method Based on Improved One-dimensional Convolutional Neural Network
13 references·3 citing·30 second hop
Control Chart Pattern Recognition Method Based on Improved One-dimensional Convolutional Neural Network (2019)Control Chart Pattern Recognition Method …Improved statistical features-based control chart patterns recognition using ANFIS with fuzzy clustering (2018)Improved statistical features…Control chart pattern recognition using RBF neural network with new training algorithm and practical features (2018)Control chart pattern recogni…Recognition of Control Chart Pattern Using Improved Supervised Locally Linear Embedding and Support Vector Machine (2017)Recognition of Control Chart …Recognition of control chart patterns using fuzzy SVM with a hybrid kernel function (2015)Recognition of control chart …Spiking neural network-based control chart pattern recognition (2012)Spiking neural network-based …Recognition of unnatural patterns in process control charts through combining two types of neural networks (2011)Recognition of unnatural patt…Mixture control chart patterns recognition using independent component analysis and support vector machine (2011)Mixture control chart pattern…Recognition of control chart patterns using improved selection of features (2008)Recognition of control chart …Feature-based recognition of control chart patterns (2006)Feature-based recognition of …Development of fuzzy process control charts and fuzzy unnatural pattern analyses (2006)Development of fuzzy process …A study on the various features for effective control chart pattern recognition (2006)A study on the various featur…Feature-based control chart pattern recognition (1997)Feature-based control chart p…A neural network approach for the analysis of control chart patterns (1997)A neural network approach for…Monitoring bivariate autocorrelated process using a deep learning-based control chart: A case study on the car manufacturing industry (2024)Monitoring bivariate autocorr…Multivariate Process Control Chart Pattern Classification Using Multi-Channel Deep Convolutional Neural Networks (2023)Multivariate Process Control …End-to-End Control Chart Pattern Classification Using a 1D Convolutional Neural Network and Transfer Learning (2021)End-to-End Control Chart Patt…The Shewhart Control Chart—Tests for Special Causes (1984)Introduction to Statistical Quality Control (1992)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)Fuzzy sets (1965)Quality Control and Industrial Statistics. (1967)Multiple Attribute Decision Making: Methods and Applications (1981)A hybrid fuzzy adaptive sampling – Run rules for Shewhart control charts (2007)Process capability analyses based on fuzzy measurements and fuzzy control charts (2010)Statistical Quality Control (1990)Improved recognition of control chart patterns using artificial neural networks (2007)An expert system for control chart pattern recognition (2011)Control chart recognition based on the parallel model of CNN and LSTM with GA optimization (2021)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)Application of Machine Learning in Statistical Process Control Charts: A Survey and Perspective (2021)Analyzing the benefits of lean manufacturing and value stream mapping via simulation: A process sector case study (2006)Application of machine learning techniques for supply chain demand forecasting (2007)A condition monitoring approach for machining process based on control chart pattern recognition with dynamically-sized observation windows (2020)Fuzzy Heuristics and Decision Tree for Classification of Statistical Feature-Based Control Chart Patterns (2021)Improved SPC chart pattern recognition using statistical features (2003)A Novel Machine Learning Approach Combined with Optimization Models for Eco-efficiency Evaluation (2020)A novel artificial intelligent approach: comparison of machine learning tools and algorithms based on optimization DEA Malmquist productivity index for eco-efficiency evaluation (2021)A review of neural networks for statistical process control (1998)A survey of control-chart pattern-recognition literature (1991–2010) based on a new conceptual classification scheme (2012)Control chart pattern recognition using the convolutional neural network (2019)Statistical Process Control with Intelligence Based on the Deep Learning Model (2019)Control chart pattern recognition using spectral clustering technique and support vector machine under gamma distribution (2022)
this work references cited by second hop

References

  • 1997A neural network approach for the analysis of control chart patterns169 cited
  • 1997Feature-based control chart pattern recognition130 cited
  • 2006Development of fuzzy process control charts and fuzzy unnatural pattern analyses115 cited
  • 2018Control chart pattern recognition using RBF neural network with new training algorithm and practical features111 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
  • 2015Recognition of control chart patterns using fuzzy SVM with a hybrid kernel function68 cited
  • 2006A study on the various features for effective control chart pattern recognition54 cited
  • 2018Improved statistical features-based control chart patterns recognition using ANFIS with fuzzy clustering37 cited
  • 2017Recognition of Control Chart Pattern Using Improved Supervised Locally Linear Embedding and Support Vector Machine33 cited
  • 2012Spiking neural network-based control chart pattern recognition32 cited
  • 2011Recognition of unnatural patterns in process control charts through combining two types of neural networks27 cited

Cited by

  • 2024

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Monitoring bivariate autocorrelated process using a deep learning-based control chart: A case study on the car manufacturing industry
20 cited
  • 2021End-to-End Control Chart Pattern Classification Using a 1D Convolutional Neural Network and Transfer Learning20 cited
  • 2023Multivariate Process Control Chart Pattern Classification Using Multi-Channel Deep Convolutional Neural Networks13 cited