Results 21 to 30 of about 14,530,589 (306)
Mathematics, 2021 A data-driven method to identify frequent sets of course failures that students should avoid in order to minimize the likelihood of their dropping out from their university training is proposed.
Róbert Csalódi, János Abonyi
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State-space independent component analysis for nonlinear dynamic process monitoring [PDF]
, 2010 The cost effective benefits of process monitoring will never be over emphasised. Amongst monitoring techniques, the Independent Component Analysis (ICA) is an efficient tool to reveal hidden factors from process measurements, which follow non-Gaussian
Odiowei, P. P. +3 more
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Sensors, 2022 One of the main challenges of Industry 4.0 is how advanced sensors and sensing technologies can be applied through the Internet of Things layers of existing manufacturing.
Tamás Ruppert +4 more
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Remote Monitoring the Parameters of Interest in the 18O Isotope Separation Technological Process
, 2023 This manuscript presents the remote monitoring of the main parameters in the 18O isotope separation technological process. It proposes to monitor the operation of the five cracking reactors in the isotope production system, respectively, the temperature ...
Vlad Muresan +3 more
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Contextual and Ethical Issues with Predictive Process Monitoring [PDF]
, 2022 This thesis addresses contextual and ethical issues in the predictive process monitoring framework and several related issues. Regarding contextual issues, even though the importance of case, process, social and external contextual factors in the ...
Ogunbiyi, Oluniyi
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Retrofitting-Based Development of Brownfield Industry 4.0 and Industry 5.0 Solutions
IEEE Access, 2022 The ongoing Industry 4.0 is characterized by the connectivity between components in the manufacturing system. For modern machines, the Internet of Things is a built-in function.
Tuan-Anh Tran +3 more
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Results in Engineering, 2022 A method for flexible vibration sensor-based retrofitting of CNC machines is proposed. As different states leave different fingerprints in the power spectrum plane, the states of the machine can be distinguished based on the features extracted from the ...
Alex Kummer +3 more
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, 2022 In modern industrial systems, high-dimensional process data provide rich information for process monitoring. To make full use of local information of industrial process, a distributed robust dictionary pair learning (DRDPL) is proposed for refined ...
Ziqing Deng +4 more
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IEEE Access, 2018 Faults and malfunctions on complex chemical production systems generate alarm cascades that hinder the work of the operators and make fault diagnosis a complex and challenging task.
Gyula Dorgo, Kristof Varga, Janos Abonyi
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Sensors, 2019 AC arc faults are one of the most important causes of residential electrical wiring fires, which may produce extremely high temperatures and easily ignite surrounding combustible materials.
Kai Yang +4 more
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