Articles with "field reconstruction" as a keyword



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Temperature-field reconstruction algorithm based on reflected sigmoidal radial basis function and QR decomposition

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Published in 2020 at "Applied Thermal Engineering"

DOI: 10.1016/j.applthermaleng.2020.114987

Abstract: Abstract Information on temperature-field distribution can reflect the combustion state within utility boiler furnaces, which is conducive for the formulation of control strategies to ensure safe boiler operation; therefore, it is significant for the realization… read more here.

Keywords: reconstruction; temperature; field reconstruction; reconstruction algorithm ... See more keywords

Field reconstruction and off-design performance prediction of turbomachinery in energy systems based on deep learning techniques

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Published in 2022 at "Energy"

DOI: 10.1016/j.energy.2021.121825

Abstract: Abstract Obtaining the off-design characteristics of core components such as turbines and compressors is the basis of off-design analysis for energy systems. However, the characteristics are difficult to accurately acquire in the initial design stage… read more here.

Keywords: field reconstruction; performance prediction; design;
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Optimal and fast field reconstruction with reduced basis and limited observations: Application to reactor core online monitoring

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Published in 2021 at "Nuclear Engineering and Design"

DOI: 10.1016/j.nucengdes.2021.111113

Abstract: Abstract The fast reconstruction of neutronic field in a nuclear core using reduced modeling and limited observations has attracted considerable attention. In particular, four design parameters are considered for developing efficient and robust field reconstruction… read more here.

Keywords: reconstruction; field; field reconstruction; reduced basis ... See more keywords

A Comprehensive Deep Learning–Based Approach to Field Reconstruction in Reactor Cores

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Published in 2024 at "Nuclear Science and Engineering"

DOI: 10.1080/00295639.2024.2403895

Abstract: Abstract The aging process or flow-induced vibration of reactor cores may lead to increased mechanical vibrations, affecting the reliability of in-core sensors and necessitating a robust solution for robust field reconstruction. This work tackles the… read more here.

Keywords: learning; field reconstruction; reactor cores;

Remote dipole field reconstruction with dusty galaxies

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Published in 2020 at "Physical Review D"

DOI: 10.1103/physrevd.102.043520

Abstract: The kinetic Sunyaev Zel'dovich (kSZ) effect, cosmic microwave background (CMB) temperature anisotropies induced by scattering of CMB photons from free electrons, forms the dominant blackbody component of the CMB on small angular scales. Future CMB… read more here.

Keywords: field; dipole field; field reconstruction; cmb ... See more keywords

Light Field Reconstruction With Dual Features Extraction and Macro-Pixel Upsampling

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Published in 2024 at "IEEE Access"

DOI: 10.1109/access.2024.3446592

Abstract: Dense multi-view image reconstruction has been a focal point of research for an extended period, with recent surges in interest. The utilization of multi-view images offers solutions to numerous challenges and amplifies the effectiveness of… read more here.

Keywords: field reconstruction; reconstruction; light field; reconstruction dual ... See more keywords

Real-Time Acoustic Holography for Target Pattern Acoustic Field Reconstruction With Iterative Unsupervised Learning

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Published in 2025 at "IEEE Access"

DOI: 10.1109/access.2025.3563250

Abstract: The ability to reconstruct acoustic field is essential for applications such as particle manipulation, medical therapy, and ultrasonic imaging. Conventional acoustic field reconstruction algorithms are limited in both speed and accuracy when generating acoustic holograms,… read more here.

Keywords: field; method; acoustic holography; field reconstruction ... See more keywords

Sound Field Reconstruction Using Error Function Method

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Published in 2024 at "IEEE Sensors Journal"

DOI: 10.1109/jsen.2024.3477473

Abstract: The accurate sound field reconstruction, especially in medium- and low-frequency ranges, remains challenging due to limitations in traditional methods relying on the $\ell _{{1}}$ norm for sparsity promotion. These approaches are vulnerable to noise interference… read more here.

Keywords: method; inline formula; reconstruction; sound field ... See more keywords
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On the Field-Reconstruction Method for Electromagnetic Modeling of Resolvers

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Published in 2023 at "IEEE Transactions on Instrumentation and Measurement"

DOI: 10.1109/tim.2022.3224527

Abstract: In this article, field-reconstruction method (FRM) is proposed for predicting the performance of different types of rotational resolvers, including wound-rotor (WR) and variable reluctance (VR) ones. The main features of the developed method are comparable… read more here.

Keywords: reconstruction method; modeling resolvers; method electromagnetic; field reconstruction ... See more keywords

Boundary-Element Methods for Field Reconstruction in Accelerator Magnets

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Published in 2020 at "IEEE Transactions on Magnetics"

DOI: 10.1109/tmag.2019.2952092

Abstract: Magnetic fields in the aperture of particle accelerator magnets can be represented by boundary potentials, exploiting Kirchhoff’s integral equation. Depending on the formulation, magnetic measurement data can be represented by the discrete approximations of Dirichlet… read more here.

Keywords: reconstruction; accelerator magnets; field; field reconstruction ... See more keywords
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Sensor Placement for Field Reconstruction in Rotating Electrical Machines

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Published in 2021 at "IEEE Transactions on Magnetics"

DOI: 10.1109/tmag.2021.3072095

Abstract: A method is proposed in this article to place sensors in an electrical machine in order to be able to reconstruct the magnetic field distribution. This method is based on the empirical interpolation method combined… read more here.

Keywords: field; reconstruction rotating; field reconstruction; sensor placement ... See more keywords