Results 61 to 70 of about 36,235 (205)
Multiphase MCMC sampling for parameter inference in nonlinear ordinary differential equations [PDF]
, 2018 Traditionally, ODE parameter inference relies on solving the system of ODEs and assessing fit of the estimated signal with the observations. However, nonlinear ODEs often do not permit closed form solutions. Using numerical methods to solve the equations
Husmeier, Dirk +2 more
core
General modeling of the windings for multi-phase ac machines [PDF]
, 2010 This paper, which deals with the winding modeling of ac multi-phase machines with a regular distribution of the stator slots, details an original matrix modeling of the stator winding.
CHARPENTIER, Jean-Frederic +2 more
core +5 more sources
IEEE AccessA multiphase induction machine model using vector space decomposition provides insights into many space harmonics through decoupled reference frames. In order to utilize this potential of the multiphase machine, the parameters of each vector space must ...
Omer Ikram Ul Haq +3 more
doaj +1 more source
Wellhead Choke Performance for Multiphase Flowback: A Data-Driven Investigation on Shale Gas Wells
EnergiesWellhead choke performance is critical for flowback choke-size managements in unconventional gas wells. Most existing empirical correlations were originally developed for oil and gas flow, and their accuracy for gas/water multiphase flowback remains ...
Kundai Huang, Yingkun Fu, Yufei Guo
doaj +1 more source
Self-Diagnosis of Multiphase Flow Meters through Machine Learning-Based Anomaly Detection
Energies, 2020 Measuring systems are becoming increasingly sophisticated in order to tackle the challenges of modern industrial problems. In particular, the Multiphase Flow Meter (MPFM) combines different sensors and data fusion techniques to estimate quantities that ...
Tommaso Barbariol +2 more
doaj +1 more source
Microfluidic multiscale model of transport phenomena for engineering and interdisciplinary education applied to elements of a stirling engine [PDF]
, 2014 This paper was presented at the 4th Micro and Nano Flows Conference (MNF2014), which was held at University College, London, UK. The conference was organised by Brunel University and supported by the Italian Union of Thermofluiddynamics, IPEM, the ...
4th Micro and Nano Flows Conference (MNF2014) +1 more
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Evaluation of Machine Learning Assisted Phase Behavior Modelling of Surfactant–Oil–Water Systems
Applied SciencesThis paper evaluates the ability of machine learning (ML) algorithms to capture and reproduce complex multiphase behavior in surfactant–oil–water systems.
Daulet Magzymov +3 more
doaj +1 more source
, 2018 Surrogate strategies are used widely for uncertainty quantification of groundwater models in order to improve computational efficiency. However, their application to dynamic multiphase flow problems is hindered by the curse of dimensionality, the ...
Mo, Shaoxing +4 more
core +1 more source
Assessment of a Universal Reconfiguration-less Control Approach in Open-Phase Fault Operation for Multiphase Drives [PDF]
, 2019 Multiphase drives have been important in particular industry applications where reliability is a desired goal. The main reason for this is their inherent fault tolerance. Di erent nonlinear controllers that do not include modulation stages, like direct
Barrero, Federico +4 more
core +2 more sources
EnergiesThis paper proposes a novel nine-phase ferrite-assisted synchronous reluctance machine (FA-SynRM) featuring skewed stator slots to address challenges related to harmonic distortion, torque ripple, and material sustainability which are prevalent in ...
Hongliang Guo +4 more
doaj +1 more source