Results 11 to 20 of about 1,558,454 (317)
Monitoring Lévy-process crossovers [PDF]
Communications in Nonlinear Science and Numerical Simulation, 2021 The crossover among two or more types of diffusive processes represents a vibrant theme in nonequilibrium statistical physics. In this work we propose two models to generate crossovers among different Lévy processes: in the first model we change gradually the order of the derivative in the Laplacian term of the diffusion equation, whereas in the second
Maike A. F. dos Santos +2 more
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Explainable Predictive Process Monitoring [PDF]
2020 2nd International Conference on Process Mining (ICPM), 2020 Predictive Business Process Monitoring is becoming an essential aid for organizations, providing online operational support of their processes. This paper tackles the fundamental problem of equipping predictive business process monitoring with explanation capabilities, so that not only the what but also the why is reported when predicting generic KPIs ...
Galanti, Riccardo +4 more
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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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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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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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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., Cao, Yi
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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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A Three-Step Framework for Multimodal Industrial Process Monitoring Based on DLAN, TSQTA, and FSBN
, 2023 The process monitoring method for industrial production can technically achieve early warning of abnormal situations and help operators make timely and reliable response decisions.
Hua Wang +4 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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, 2023 The increasing scale of industrial processes has significantly motivated the development of data-driven fault detection and diagnosis techniques. The selection of representative fault-free modeling data from operation history is an important prerequisite
Zhuoteng Zhou +4 more
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