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Statistical monitoring of image data using multi-channel functional principal component analysis
12 references·0 citing·44 second hop
Statistical monitoring of image data using multi-channel functional principal component analysis (2021)Statistical monitoring of image data usin…A novel framework for spatiotemporal monitoring and post‐signal diagnosis of processes with image data (2020)A novel framework for spatiot…An EWMA and region growing based control chart for monitoring image data (2019)An EWMA and region growing ba…Profile Monitoring of Probability Density Functions via Simplicial Functional PCA With Application to Image Data (2018)Profile Monitoring of Probabi…Phase-II monitoring in multichannel profile observations (2018)Phase-II monitoring in multic…An overview on recent profile monitoring papers (2008–2018) based on conceptual classification scheme (2018)An overview on recent profile…Statistical process monitoring via image data using wavelets (2017)Statistical process monitorin…Modeling and monitoring methods for spatial and image data (2017)Modeling and monitoring metho…An image-based multivariate generalized likelihood ratio control chart for detecting and diagnosing multiple faults in manufactured products (2015)An image-based multivariate g…A Change-Point Approach for Phase-I Analysis in Multivariate Profile Monitoring and Diagnosis (2015)A Change-Point Approach for P…On monitoring of multiple non-linear profiles (2013)On monitoring of multiple non…A Spatiotemporal Method for the Monitoring of Image Data (2012)A Spatiotemporal Method for t…Statistical Analysis of Profile Monitoring (2011)Statistical Analysis of Profi…A Multivariate Exponentially Weighted Moving Average Control Chart (1992)Introduction to Statistical Quality Control (1992)On-Line Monitoring When the Process Yields a Linear Profile (2000)Phase I analysis of multivariate profiles based on regression adjustment (2015)Pairwise Estimation of Multivariate Gaussian Process Models With Replicated Observations: Application to Multivariate Profile Monitoring (2017)A novel approach to measure product quality in sustainable supplier selection (2019)Estimation of the Change Point of a Normal Process Mean in SPC Applications (2001)Introduction to Statistical Quality Control (2007)A Review and Perspective on Control Charting with Image Data (2011)Statistical process monitoring approach for high-density point clouds (2012)Spatially weighted PCA for monitoring video image data with application to additive manufacturing (2018)An earth mover’s distance based multivariate generalized likelihood ratio control chart for effective monitoring of 3D point cloud surface (2022)Limit theorems in change-point analysis (1997)The Changepoint Model for Statistical Process Control (2003)Phase I Distribution-Free Analysis of Multivariate Data (2017)Big Data? Statistical Process Control Can Help! (2019)An Evaluation of a GLR Control Chart for Monitoring the Process Mean (2010)On wavelet-based statistical process monitoring (2020)STATISTICS FOR SPATIAL DATA (1992)Introduction to Spatial Econometrics (2009)Hierarchical Modeling and Analysis for Spatial Data (2014)An Intrinsic Geometrical Approach for Statistical Process Control of Surface and Manifold Data (2020)Planning offline inspection strategies in low-volume manufacturing processes (2020)Data-Driven Intelligent 3D Surface Measurement in Smart Manufacturing: Review and Outlook (2021)Using Control Charts to Monitor Process and Product Quality Profiles (2004)Comparing Implementations of Estimation Methods for Spatial Econometrics (2015)Functional Regression Control Chart (2020)Complex geometries in additive manufacturing: A new solution for lattice structure modeling and monitoring (2021)An adaptive multivariate functional EWMA control chart (2024)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)Exponentially Weighted Moving Average Control Schemes: Properties and Enhancements (1990)Run Rules-Based EWMA Charts for Efficient Monitoring of Profile Parameters (2021)funcharts: control charts for multivariate functional data in R (2023)Monitoring simple linear profiles in the presence of within‐ and between‐profile autocorrelation (2023)A survey of the prevalence of fatigue, its precursors and individual coping mechanisms among U.S. manufacturing workers (2017)Monitoring the coefficient of variation using a variable parameters chart (2017)The partitioning ensemble control chart for on-line monitoring of high-dimensional image-based quality characteristics (2023)An Overview of Phase I Analysis for Process Improvement and Monitoring (2014)Introduction to Statistical Process Control (2014)How generative AI models such as ChatGPT can be (mis)used in SPC practice, education, and research? An exploratory study (2023)
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References

  • 2011Statistical Analysis of Profile Monitoring242 cited
  • 2015A Change-Point Approach for Phase-I Analysis in Multivariate Profile Monitoring and Diagnosis120 cited
  • 2018An overview on recent profile monitoring papers (2008–2018) based on conceptual classification scheme117 cited
  • 2012A Spatiotemporal Method for the Monitoring of Image Data110 cited
  • 2018Profile Monitoring of Probability Density Functions via Simplicial Functional PCA With Application to Image Data56 cited
  • 2015An image-based multivariate generalized likelihood ratio control chart for detecting and diagnosing multiple faults in manufactured products51 cited
  • 2017Modeling and monitoring methods for spatial and image data49 cited
  • 2017Statistical process monitoring via image data using wavelets40 cited
  • 2013On monitoring of multiple non-linear profiles27 cited
  • 2018Phase-II monitoring in multichannel profile observations23 cited
  • 2020A novel framework for spatiotemporal monitoring and post‐signal diagnosis of processes with image data17 cited
  • 2019An EWMA and region growing based control chart for monitoring image data16 cited

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