SZodixStudyAcademic Library
DashboardShelvesOpen accessMy libraryInboxNotesWriteLearnAlerts
More
Ask your libraryNotificationsQuick citeReview
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
Control chart pattern recognition using the convolutional neural network
11 references·16 citing·26 second hop
Control chart pattern recognition using the convolutional neural network (2019)Control chart pattern recognition using t…A survey of control-chart pattern-recognition literature (1991–2010) based on a new conceptual classification scheme (2012)A survey of control-chart pat…Improved SPC chart pattern recognition using statistical features (2003)Improved SPC chart pattern re…Control Chart Tests Based on Geometric Moving Averages (2000)Control Chart Tests Based on …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…Control chart pattern recognition using learning vector quantization networks (1994)Control chart pattern recogni…Introduction to Statistical Quality Control (1992)Introduction to Statistical Q…Interpreting Shewhart X Control Charts (1985)Interpreting Shewhart X Contr…The Shewhart Control Chart—Tests for Special Causes (1984)The Shewhart Control Chart—Te…Quality Control and Industrial Statistics. (1967)Quality Control and Industria…Control Chart Tests Based on Geometric Moving Averages (1959)Control Chart Tests Based on …Explainable AI for trustworthy intelligent process monitoring (2025)Explainable AI for trustworth…The partitioning ensemble control chart for on-line monitoring of high-dimensional image-based quality characteristics (2023)The partitioning ensemble con…Control chart pattern recognition for imbalanced data based on multi-feature fusion using convolutional neural network (2023)Control chart pattern recogni…Analyzing abnormal pattern of hotelling T2 control chart for compositional data using artificial neural networks (2023)Analyzing abnormal pattern of…A network surveillance approach using machine learning based control charts (2023)A network surveillance approa…A monitoring framework for health care processes using Generalized Additive Models and Auto-Encoders (2023)A monitoring framework for he…Control Chart Concurrent Pattern Classification Using Multi-Label Convolutional Neural Networks (2022)Control Chart Concurrent Patt…Product backorder prediction using deep neural network on imbalanced data (2021)Product backorder prediction …On-line concurrent control chart pattern recognition using singular spectrum analysis and random forest (2021)On-line concurrent control ch…End-to-End Control Chart Pattern Classification Using a 1D Convolutional Neural Network and Transfer Learning (2021)End-to-End Control Chart Patt…Application of Machine Learning in Statistical Process Control Charts: A Survey and Perspective (2021)Application of Machine Learni…Monitoring linear profiles using Artificial Neural Networks with run rules (2020)Monitoring linear profiles us…A robust data simulation technique to improve early detection performance of a classifier in control chart pattern recognition systems (2020)A robust data simulation tech…A cost-sensitive convolution neural network learning for control chart pattern recognition (2020)A cost-sensitive convolution …A condition monitoring approach for machining process based on control chart pattern recognition with dynamically-sized observation windows (2020)A condition monitoring approa…Statistical Process Control with Intelligence Based on the Deep Learning Model (2019)Statistical Process Control w…Design of Experiments (1936)Taguchi Techniques for Quality Engineering (1989)Application of the PSO–SVM model for recognition of control chart patterns (2010)Control chart pattern recognition using RBF neural network with new training algorithm and practical features (2018)Economic Control of Quality of Manufactured Product. (1932)Measurement errors in statistical process monitoring: A literature review (2016)Statistical Learning Methods Applied to Process Monitoring: An Overview and Perspective (2016)Understanding the impacts of mobile phone distraction on driving performance: A systematic review (2016)Quality, productivity, and competitive position (1982)The Effect of Sample Size on Estimated Limits forXandXControl Charts (1993)Risks and decisions for conservation and environmental management (2005)Risks and Decisions for Conservation and Environmental Management (2005)Statistical Quality Control (1990)X¯ CONTROL CHART PATTERN IDENTIFICATION THROUGH EFFICIENT OFF-LINE NEURAL NETWORK TRAINING (1993)Development of fuzzy process control charts and fuzzy unnatural pattern analyses (2006)A review of neural networks for statistical process control (1998)A control chart pattern recognition system using a statistical correlation coefficient method (2005)The Exponentially Weighted Moving Average (1986)A Multivariate Exponentially Weighted Moving Average Control Chart (1992)Data quality for data science, predictive analytics, and big data in supply chain management: An introduction to the problem and suggestions for research and applications (2014)A neural network based model for abnormal pattern recognition of control charts (1999)A hybrid learning-based model for on-line detection and analysis of control chart patterns (2005)Time-Series Modeling for Statistical Process Control (1988)Statistical process control as a tool for research and healthcare improvement (2003)Kollár Ádám Ferenc levelezése (2000)Exploratory Data Mining and Data Cleaning (2003)
this work references cited by second hop

References

  • 1992Introduction to Statistical Quality Control7,842 cited
  • 1959Control Chart Tests Based on Geometric Moving Averages1,544 cited
  • 2000Control Chart Tests Based on Geometric Moving Averages1,252 cited
  • 1967Quality Control and Industrial Statistics.1,001 cited
  • 1984The Shewhart Control Chart—Tests for Special Causes586 cited
  • 2003Improved SPC chart pattern recognition using statistical features175 cited
  • 1997A neural network approach for the analysis of control chart patterns169 cited
  • 1985Interpreting Shewhart X Control Charts147 cited
  • 2012A survey of control-chart pattern-recognition literature (1991–2010) based on a new conceptual classification scheme145 cited
  • 1994Control chart pattern recognition using learning vector quantization networks140 cited
  • 1997Feature-based control chart pattern recognition130 cited

Cited by

  • 2020A cost-sensitive convolution neural network learning for control chart pattern recognition97 cited
  • 2021Product backorder prediction using deep neural network on imbalanced data89 cited
  • 2019Statistical Process Control with Intelligence Based on the Deep Learning Model61 cited
  • 2021Application of Machine Learning in Statistical Process Control Charts: A Survey and Perspective

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work

52 cited
  • 2023A network surveillance approach using machine learning based control charts44 cited
  • 2023Control chart pattern recognition for imbalanced data based on multi-feature fusion using convolutional neural network39 cited
  • 2020Monitoring linear profiles using Artificial Neural Networks with run rules38 cited
  • 2020A condition monitoring approach for machining process based on control chart pattern recognition with dynamically-sized observation windows33 cited
  • 2021On-line concurrent control chart pattern recognition using singular spectrum analysis and random forest28 cited
  • 2023A monitoring framework for health care processes using Generalized Additive Models and Auto-Encoders27 cited
  • 2025Explainable AI for trustworthy intelligent process monitoring26 cited
  • 2023The partitioning ensemble control chart for on-line monitoring of high-dimensional image-based quality characteristics22 cited
  • 2021End-to-End Control Chart Pattern Classification Using a 1D Convolutional Neural Network and Transfer Learning20 cited
  • 2023Analyzing abnormal pattern of hotelling T2 control chart for compositional data using artificial neural networks18 cited
  • 2020A robust data simulation technique to improve early detection performance of a classifier in control chart pattern recognition systems17 cited
  • 2022Control Chart Concurrent Pattern Classification Using Multi-Label Convolutional Neural Networks16 cited