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Enhancing the detection ability of control charts in profile monitoring by adding RBF ensemble model
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Enhancing the detection ability of control charts in profile monitoring by adding RBF ensemble model (2022)Enhancing the detection ability of contro…A dynamic ensemble learning algorithm for neural networks (2019)A dynamic ensemble learning a…Profile monitoring based quality control method for fused deposition modeling process (2018)Profile monitoring based qual…Control chart pattern recognition using RBF neural network with new training algorithm and practical features (2018)Control chart pattern recogni…An overview on recent profile monitoring papers (2008–2018) based on conceptual classification scheme (2018)An overview on recent profile…Alternative methods for the simultaneous monitoring of simple linear profile parameters (2018)Alternative methods for the s…Linear profile monitoring using EWMA structure under ranked set schemes (2017)Linear profile monitoring usi…LASSO-based multivariate linear profile monitoring (2010)LASSO-based multivariate line…A CUSUM-based method for monitoring simple linear profiles (2009)A CUSUM-based method for moni…Control chart based on likelihood ratio for monitoring linear profiles (2008)Control chart based on likeli…Monitoring General Linear Profiles Using Multivariate Exponentially Weighted Moving Average Schemes (2007)Monitoring General Linear Pro…Current research on profile monitoring (2007)Current research on profile m…A neural network ensemble-based model for on-line monitoring and diagnosis of out-of-control signals in multivariate manufacturing processes (2007)A neural network ensemble-bas…Performance evaluation of two methods for online monitoring of linear calibration profiles (2006)Performance evaluation of two…On the Monitoring of Linear Profiles (2003)On the Monitoring of Linear P…On-Line Monitoring When the Process Yields a Linear Profile (2000)On-Line Monitoring When the P…Introduction to Statistical Quality Control (1988)Introduction to Statistical Q…Personal communication (1989)Exponentially Weighted Moving Average Control Schemes: Properties and Enhancements (1990)Introduction to Statistical Quality Control (1992)Phase I Analysis of Linear Profiles With Calibration Applications (2004)Statistical monitoring of nonlinear product and process quality profiles (2007)A Multivariate Exponentially Weighted Moving Average Control Chart (1992)A case study on monitoring polynomial profiles in the automotive industry (2009)Phase II monitoring of multivariate simple linear profiles (2009)Limit theorems in change-point analysis (1997)Monitoring Profiles Based on Nonparametric Regression Methods (2008)Nonparametric Profile Monitoring by Mixed Effects Modeling (2010)Geometrical deviation modeling and monitoring of 3D surface based on multi-output Gaussian process (2022)Introduction to Statistical Quality Control (2005)Profile Monitoring via Nonlinear Mixed Models (2009)Using Control Charts to Monitor Process and Product Quality Profiles (2004)Simple linear profiles monitoring in the presence of within profile autocorrelation (2009)Effects of Parameter Estimation on Control Chart Properties: A Literature Review (2006)The Use of Control Charts in Health-Care and Public-Health Surveillance (2006)Some Recent Developments on the Effects of Parameter Estimation on Control Charts (2013)How generative AI models such as ChatGPT can be (mis)used in SPC practice, education, and research? An exploratory study (2023)Control Chart Tests Based on Geometric Moving Averages (1959)Process Capability Indices (1986)Process Capability Indices. (1995)Generalized linear model based monitoring methods for high‐yield processes (2020)Monitoring linear profiles using Artificial Neural Networks with run rules (2020)Statistical Process Monitoring from Industry 2.0 to Industry 4.0: Insights into Research and Practice (2024)Optimal route design of electric transit networks considering travel reliability (2021)Random fields representation over manifolds via isometric feature mapping‐based dimension reduction (2021)Interpretable machine learning learns complex interactions of urban features to understand socio‐economic inequality (2023)Introduction to Statistical Quality Control (1997)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)An optimization model for green supply chain management by using a big data analytic approach (2016)
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References

  • 2000On-Line Monitoring When the Process Yields a Linear Profile554 cited
  • 2019A dynamic ensemble learning algorithm for neural networks537 cited
  • 1988Introduction to Statistical Quality Control532 cited
  • 2003On the Monitoring of Linear Profiles485 cited
  • 2007Current research on profile monitoring314 cited
  • 2007Monitoring General Linear Profiles Using Multivariate Exponentially Weighted Moving Average Schemes288 cited
  • 2006Performance evaluation of two methods for online monitoring of linear calibration profiles164 cited
  • 2008Control chart based on likelihood ratio for monitoring linear profiles143 cited
  • 2009A CUSUM-based method for monitoring simple linear profiles123 cited
  • 2018An overview on recent profile monitoring papers (2008–2018) based on conceptual classification scheme117 cited
  • 2010LASSO-based multivariate linear profile monitoring115 cited
  • 2018Control chart pattern recognition using RBF neural network with new training algorithm and practical features111 cited
  • 2007A neural network ensemble-based model for on-line monitoring and diagnosis of out-of-control signals in multivariate manufacturing processes96 cited
  • 2018Profile monitoring based quality control method for fused deposition modeling process84 cited

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  • 2018Alternative methods for the simultaneous monitoring of simple linear profile parameters60 cited
  • 2017Linear profile monitoring using EWMA structure under ranked set schemes58 cited
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