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Multivariate statistical process control charts: an overview [PDF]
Quality and Reliability Engineering International, 2006 AbstractIn this paper we discuss the basic procedures for the implementation of multivariate statistical process control via control charting. Furthermore, we review multivariate extensions for all kinds of univariate control charts, such as multivariate Shewhart‐type control charts, multivariate CUSUM control charts and multivariate EWMA control ...
Bersimis, Sotiris +2 more
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Early fault detection in gearboxes via dynamic principal component analysis-driven multivariate statistical process control. [PDF]
PLoS ONEEarly detection of gearbox failure is essential due to their critical role in industrial operations. Therefore, effective condition monitoring techniques are required to identify incipient deviations in operational behaviour.
Antonio Pérez-Torres +4 more
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Advances in statistical quality control chart techniques and their limitations to cement industry
Cogent Engineering, 2022 Sustainability issues are challenging the cement industry due to its high emission of greenhouse gas, intensive energy consumption, and depletion of resources.
Daniel Ashagrie Tegegne +2 more
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Diagnosing Out-of-Control Signals of Multivariate Control Chart based on Variable Length PSO-SVM [PDF]
Revista Română de Informatică și Automatică, 2021 Multivariate statistical process control is an essential procedure employed to deliver quality products in modern manufacturing and service industries. Multivariate control charts are an extensively used tool to determine whether a process is performing ...
Duo XU, Zeshui XU, Shuixia CHEN
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Control Chart T2Qv for Statistical Control of Multivariate Processes with Qualitative Variables
Mathematics, 2023 The scientific literature is abundant regarding control charts in multivariate environments for numerical and mixed data; however, there are few publications for qualitative data. Qualitative variables provide valuable information on processes in various
Wilson Rojas-Preciado +3 more
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Mathematics, 2023 Statistical process control (SPC) charts are commonly used to monitor quality characteristics in manufacturing processes. When monitoring two or more related quality characteristics simultaneously, multivariate T2 control charts are often employed.
Chuen-Sheng Cheng +3 more
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Principal Component Analysis (PCA) applied to the statistical control of multivariate processes
Investigación e Innovación en Ingenierías, 2022 Objective: to propose the analysis and monitoring of a chemical process sustained in the theoretical principles of a factorial method cataloged as Principal Component Analysis (PCA), whose ultimate objective is to represent the original variables of the
Juan carlos Herrera Vega +2 more
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Production and Manufacturing Research: An Open Access Journal, 2021 In this paper, we highlight the basic techniques of multivariate statistical process control (MSPC) under the dimensionality criteria, such as Multiway Principal Component Analysis, Multiway Partial Squares, Structuration à Trois Indices de la ...
Miriam Ramos +6 more
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Multivariate Pattern Recognition in MSPC Using Bayesian Inference
Mathematics, 2021 Multivariate Statistical Process Control (MSPC) seeks to monitor several quality characteristics simultaneously. However, it has limitations derived from its inability to identify the source of special variation in the process.
Jose Ruiz-Tamayo +5 more
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Principal Alarms in Multivariate Statistical Process Control [PDF]
Journal of Quality Technology, 2008 This paper describes a methodology for the simulation of multivariate out of control situations using in-control data. The method is based on finding the independent factors of the variability of the process, and shifting these factors one by one. These shifts are then translated in terms of the observed variables.
Sánchez, Ismael, González, Isabel
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