Quality-Analysis-Based Process Monitoring for Multi-Phase Multi-Mode Batch Processes [PDF]
, 2021 In batch processing, not only the characteristics of different phases are different, but also there may be different characteristics between batches. These characteristics of different phases and batches will have different effects on the final product ...
Hao Yu, Xin Huang, Luping Zhao
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Monitoring bivariate process [PDF]
Pesquisa Operacional, 2009 The T² chart and the generalized variance |S| chart are the usual tools for monitoring the mean vector and the covariance matrix of multivariate processes. The main drawback of these charts is the difficulty to obtain and to interpret the values of their monitoring statistics.
Machado, Marcela A.G. +2 more
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Remote Monitoring the Parameters of Interest in the 18O Isotope Separation Technological Process [PDF]
, 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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Monitoring the metropolitanization process [PDF]
Demography, 1988 Abstract Alternative approaches have led to different interpretations of the metropolitanization process in the United States. We identify and illustrate several methods and procedures for monitoring metropolitan-nonmetropolitan population change using the 1950–1980 U.S. decennial censuses.
G V, Fuguitt, T B, Heaton, D T, Lichter
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Indoor Positioning Systems Can Revolutionise Digital Lean
Applied Sciences, 2021 The powerful combination of lean principles and digital technologies accelerates waste identification and mitigation faster than traditional lean methods.
Tuan-Anh Tran +2 more
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Nonstationary Process Monitoring Based on Alternating Conditional Expectation and Cointegration Analysis [PDF]
, 2022 Traditional multivariate statistical methods, which are often used to monitor stationary processes, are not applicable to nonstationary processes. Cointegration analysis (CA) is considered an effective method to deal with nonstationary variables.
Jingzhi Rao +4 more
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Event-Tree Based Sequence Mining Using LSTM Deep-Learning Model
Complexity, 2021 During the operation of modern technical systems, the use of the LSTM model for the prediction of process variable values and system states is commonly widespread.
János Abonyi +2 more
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First Principles Statistical Process Monitoring of High-Dimensional Industrial Microelectronics Assembly Processes [PDF]
, 2020 Modern industrial units collect large amounts of process data based on which advanced process monitoring algorithms continuously assess the status of operations.
Rato, Tiago J. +7 more
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A Framework for Multivariate Statistical Quality Monitoring of Additive Manufacturing: Fused Filament Fabrication Process [PDF]
, 2023 Advances in additive manufacturing (AM) processes have increased the number of relevant applications in various industries. To keep up with this development, the process stability of AM processes should be monitored, which is conducted through the ...
Moath Alatefi +3 more
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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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