Comments on “On Scale Parameter Monitoring of the Rayleigh Distributed Data Using a New Design”
IEEE Access, 2022 We provide comments on a research paper proposing a control chart to monitor the scale parameter of a Rayleigh distribution. Our primary focus is on improving its average run length profile.
Philipp Wittenberg +2 more
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Feature-based statistical process monitoring for pressure swing adsorption processes
Frontiers in Chemical Engineering, 2022 Pressure swing adsorption (PSA) is a widely used technology to separate a gas product from impurities in a variety of fields. Due to the complexity of PSA operations, process and instrument faults can occur at different parts and/or steps of the process.
Jangwon Lee +4 more
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Quality-Related Process Monitoring Based on Improved Kernel Principal Component Regression
IEEE Access, 2021 To date, quality-related multivariate statistical methods are extensively used in process monitoring and have achieved admirable effects. However, most of them contain recursive processes, which result in higher time complexity and are not suitable for ...
Li Qi +4 more
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Statistical Process Control in Monitoring Radiotherapy Quality Assurance Program: An Institutional Experience. [PDF]
Iranian Journal of Medical Physics, 2022 Introduction: Statistical process control (SPC) is a handy and powerful tool for monitoring quality assurance (QA) programs in radiotherapy. This study explains the institutional experience in monitoring weekly output constancy QA and patient-specific ...
Vysakh R +3 more
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Tensor-Based ECG Anomaly Detection toward Cardiac Monitoring in the Internet of Health Things
Sensors, 2021 Advanced heart monitors, especially those enabled by the Internet of Health Things (IoHT), provide a great opportunity for continuous collection of the electrocardiogram (ECG), which contains rich information about underlying cardiac conditions ...
Houliang Zhou, Chen Kan
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A Review on Statistical Process Control in Healthcare: Data-Driven Monitoring Schemes
IEEE Access, 2023 In recent years, the adoption of statistical process monitoring (SPM) techniques in healthcare has been successful. For instance, biosurveillance and biosignal monitoring have demonstrated direct benefits.
Baruc E. Perez-Benitez +2 more
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Axioms, 2023 In industrial production, the exponentially weighted moving average scheme is widely used to monitor shifts in product quality, especially small-to-moderate shifts.
Dan Yu +5 more
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Phase I Monitoring of Multivariate Ordinal Based Processes: The MR and LRT Approaches (A Real Case Study in Drug Dissolution Process) [PDF]
International Journal of Industrial Engineering and Production Research, 2022 In some statistical processes monitoring (SPM) applications, relationship between two or more ordinal factors is shown by an ordinal contingency table (OCT) and it is described by the ordinal Log-linear model (OLLM). Newton-Raphson algorithm methods have
Ahmad Hakimi +3 more
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Monitoring the Zero-Inflated Time Series Model of Counts with Random Coefficient
Entropy, 2021 In this research, we consider monitoring mean and correlation changes from zero-inflated autocorrelated count data based on the integer-valued time series model with random survival rate.
Cong Li, Shuai Cui, Dehui Wang
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A Combined Runs Rules Scheme for Monitoring General Inflated Poisson Processes
Mathematics, 2023 In this work, a control chart with multiple runs rules is proposed and studied in the case of monitoring inflated processes. Usually, Shewhart-type control charts for attributes do not have a lower control limit, especially when the in-control process ...
Eftychia Mamzeridou +1 more
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