SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
Neural network based control charting for multiple stream processes with an application to HVAC systems in passenger railway vehicles
16 references·0 citing·40 second hop
Neural network based control charting for multiple stream processes with an application to HVAC systems in passenger railway vehicles (2022)Neural network based control charting for…Design and Analysis of Experiments (2017)Design and Analysis of Experi…Statistical Learning Methods Applied to Process Monitoring: An Overview and Perspective (2016)Statistical Learning Methods …Statistical Quality Control (2013)Statistical Quality ControlThe use of neural networks in statistical process control charts (2011)The use of neural networks in…Estimating the Standard Deviation in Quality-Control Applications (2010)Estimating the Standard Devia…Introduction to Time Series Analysis and Forecasting (2008)Introduction to Time Series A…Techniques to interpretT2control chart signals (2006)Techniques to interpretT2cont…A review of neural networks for statistical process control (1998)A review of neural networks f…A Practical Approach for Interpreting Multivariate T2 Control Chart Signals (1997)A Practical Approach for Inte…Controlling multiple stream processes with principal components (1996)Controlling multiple stream p…Statistical Process Control of Multiple Stream Processes (1995)Statistical Process Control o…Decomposition of T 2 for Multivariate Control Chart Interpretation (1995)Decomposition of T 2 for Mult…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…Control Chart for Multiple Stream Processes (1986)Control Chart for Multiple St…Multivariate Quality Control (1947)Multivariate Quality ControlMultivariate Generalizations of Cumulative Sum Quality-Control Schemes (1988)A Multivariate Exponentially Weighted Moving Average Control Chart (1992)Multivariate Control Charts for Individual Observations (1992)High-Dimensional Process Monitoring and Fault Isolation via Variable Selection (2009)Multivariate Statistical Process Control Using LASSO (2009)Multivariate quality control (1985)Multivariate SPC Methods for Process and Product Monitoring (1996)Wavelet-based multiscale statistical process monitoring: A literature review (2004)Multivariate Quality Control (2013)Economic Control of Quality of Manufactured Product. (1932)Effects of Parameter Estimation on Control Chart Properties: A Literature Review (2006)Introduction to Statistical Quality Control (2007)Design and Analysis of Control Charts for Standard Deviation with Estimated Parameters (2011)A Reevaluation of the Adaptive Exponentially Weighted Moving Average Control Chart When Parameters are Estimated (2014)Effect of the Amount of Phase I Data on the Phase II Performance ofS2andSControl Charts (2015)Exact Results for Shewhart Control Charts With Supplementary Runs Rules (1987)Detecting process mean shift in the presence of autocorrelation: a neural-network based monitoring scheme (2004)Recognition of concurrent control chart patterns using wavelet transform decomposition and multiclass support vector machines (2013)Introduction to Statistical Quality Control (1992)A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting (1997)Deciding on the Number of Classes in Latent Class Analysis and Growth Mixture Modeling: A Monte Carlo Simulation Study (2007)A Review of Some Sampling and Aggregation Strategies for Basic Statistical Process Monitoring (2019)Recent developments of control charts, identification of big data sources and future trends of current research (2019)Application of Machine Learning in Statistical Process Control Charts: A Survey and Perspective (2021)Statistical Quality Control (1990)Designing production systems for quality: Research opportunities from an automotive industry perspective (2003)A hybrid learning-based model for on-line detection and analysis of control chart patterns (2005)A survey of control-chart pattern-recognition literature (1991–2010) based on a new conceptual classification scheme (2012)Using radial basis function neural networks to recognize shifts in correlated manufacturing process parameters (1998)Support vector machines for recognizing shifts in correlated and other manufacturing processes (2002)Artificial neural networks to classify mean shifts from multivariate χ2 chart signals (2004)Multivariate CUSUM Quality-Control Procedures (1985)A Note on Multivariate CUSUM Procedures (1987)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)Post-traumatic stress disorder: a right temporal lobe syndrome? (2010)Multi-step Ahead Time Series Forecasting for Different Data Patterns Based on LSTM Recurrent Neural Network (2017)Forecasting hotel demand uncertainty using time series Bayesian VAR models (2018)Quality by design in pharmaceutical manufacturing: A systematic review of current status, challenges and future perspectives (2019)Bayesian Optimization for Adaptive Experimental Design: A Review (2020)Response surface methodology as a tool to optimize the extraction of bioactive compounds from plant sources (2022)
this work references cited by second hop

References

  • 2017Design and Analysis of Experiments2,929 cited
  • 1947Multivariate Quality Control549 cited
  • 1995Decomposition of T 2 for Multivariate Control Chart Interpretation397 cited
  • 1997A Practical Approach for Interpreting Multivariate T2 Control Chart Signals252 cited
  • 2008Introduction to Time Series Analysis and Forecasting178 cited
  • 1998A review of neural networks for statistical process control151 cited
  • 2016Statistical Learning Methods Applied to Process Monitoring: An Overview and Perspective99 cited
  • 2010Estimating the Standard Deviation in Quality-Control Applications96 cited
  • 1989Synthetic neural networks for process control88 cited
  • 1991A comparison of neural networks to SPC charts85 cited
  • 1995Statistical Process Control of Multiple Stream Processes61 cited
  • 2006Techniques to interpretT2control chart signals54 cited
  • 2013Statistical Quality Control54 cited
  • 1986Control Chart for Multiple Stream Processes45 cited
  • 2011The use of neural networks in statistical process control charts43 cited
  • 1996Controlling multiple stream processes with principal components

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

38 cited

Cited by

No citing works inside the corpus for this window.