Neutrosophic Statistical Process Monitoring [PDF]
Neutrosophic Sets and Systems, 2022 Woodall et al. raised some issues regarding neutrosophic methodology. In this paper, we will address their comments and questions related to the use of neutrosophic statistics in process monitoring.
Muhammad Aslam
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Statistical process monitoring to improve quality assurance of inpatient care [PDF]
BMC Health Services Research, 2020 Background Statistical Process Monitoring (SPM) is not typically used in traditional quality assurance of inpatient care. While SPM allows a rapid detection of performance deficits, SPM results strongly depend on characteristics of the evaluated process.
Lena Hubig +2 more
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Statistical process monitoring creates a hemodynamic trajectory map after pediatric cardiac surgery: A case study of the arterial switch operation [PDF]
Bioengineering & Translational MedicinePostoperative critical care management of congenital heart disease patients requires prompt intervention when the patient deviates significantly from clinician‐determined vital sign and hemodynamic goals.
Daniel P. Howsmon +7 more
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Statistical Process Monitoring of Artificial Neural Networks
Technometrics, 2023 The rapid advancement of models based on artificial intelligence demands innovative monitoring techniques which can operate in real time with low computational costs. In machine learning, especially if we consider artificial neural networks (ANNs), the models are often trained in a supervised manner.
Anna Malinovskaya +2 more
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Fault Monitoring Based on the VLSW-MADF Test and DLPPCA for Multimodal Processes
Sensors, 2023 Actual industrial processes often exhibit multimodal characteristics, and their data exhibit complex features, such as being dynamic, nonlinear, multimodal, and strongly coupled.
Shu Wang +3 more
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ANAEROBIC DIGESTION STABILITY TEST BY SHEWHART CONTROL CHART [PDF]
Engenharia Agrícola, 2017 The anaerobic digestion (AD) operation complexity raise the importance of stability testing to verify whether the operating conditions are under control and whether the process is working as required.
Michael S. Alcantara +3 more
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Use of Statistical Process Control for Coking Time Monitoring
Mathematics, 2023 Technical and technological developments in recent decades have stimulated the rapid development of methods and tools in the field of statistical process quality control, which also includes control charts.
Marta Benková +3 more
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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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On wavelet-based statistical process monitoring
Transactions of the Institute of Measurement and Control, 2020 This paper presents an overview of wavelet-based techniques for statistical process monitoring. The use of wavelet has already had an effective contribution to many applications. The increase of data availability has led to the use of wavelet analysis as a tool to reduce, denoise, and process the data before using statistical models for monitoring. The
Achraf Cohen, Mohamed Amine Atoui
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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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