Generalization of the k-moment method using the maximum entropy principle. Application to the NBKM and full spectrum SLMB gas radiation models

André, Frédéric; Vaillon, Rodolphe

doi:10.1016/j.jqsrt.2012.03.008

Cited by 11 publications

(3 citation statements)

References 17 publications

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“…It is assumed that the probability )is the joint probability distribution between the measured value and the feature. The fusion system under this criterion can obtain the best fusion information [139]. The entropy method has great application value, especially for systems with high realtime requirements.…”

Section: Fusion Algorithm Based On Information Theorymentioning

confidence: 99%

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Multi-sensor measurement and data fusion technology for manufacturing process monitoring: a literature review

Kong¹,

Peng²,

Chen³

et al. 2020

Int. J. Extrem. Manuf.

126

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Due to the rapid development of precision manufacturing technology, much research has been conducted in the field of multisensor measurement and data fusion technology with a goal of enhancing monitoring capabilities in terms of measurement accuracy and information richness, thereby improving the efficiency and precision of manufacturing. In a multisensor system, each sensor independently measures certain parameters. Then, the system uses a relevant signal-processing algorithm to combine all of the independent measurements into a comprehensive set of measurement results. The purpose of this paper is to describe multisensor measurement and data fusion technology and its applications in precision monitoring systems. The architecture of multisensor measurement systems is reviewed, and some implementations in manufacturing systems are presented. In addition to the multisensor measurement system, related data fusion methods and algorithms are summarized. Further perspectives on multisensor monitoring and data fusion technology are included at the end of this paper.

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Section: Fusion Algorithm Based On Information Theorymentioning

confidence: 99%

“…is the distance function [139]. Similar to voting in daily life, the voting method is the simplest technique in multisensor data fusion target recognition algorithms.…”

Section: Fusion Algorithm Based On Information Theorymentioning

confidence: 99%

Multi-sensor measurement and data fusion technology for manufacturing process monitoring: a literature review

Kong¹,

Peng²,

Chen³

et al. 2020

Int. J. Extrem. Manuf.

126

View full text Add to dashboard Cite

show abstract

“…Scattering properties are assumed independent of frequency within each band: this is part of the narrow-band assumption, allowing the reordering of absorption-coefficients and the formal definition of kdistributions in their original sense. Note that multiple-dimension reordering, such as that of[17], could allow to relieve this constraint.…”

mentioning

confidence: 99%

Null-collision meshless Monte-Carlo—Application to the validation of fast radiative transfer solvers embedded in combustion simulators

Eymet

Poitou

Galtier

et al. 2013

Journal of Quantitative Spectroscopy and Radiative Transfer

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The Monte-Carlo method is often presented as a reference method for radiative transfer simulation when dealing with participating, inhomogeneous media. The reason is that numerical uncertainties are only of a statistical nature and are accurately evaluated by measuring the standard deviation of the Monte Carlo weight. But classical Monte-Carlo algorithms first sample optical thicknesses and then determine absorption or scattering locations by inverting the formal integral definition of optical thickness as an increasing function of path length. This function is only seldom analytically invertible and numerical inversion procedures are required. Most commonly, a volumic grid is introduced and optical properties within each cell are replaced by approximate homogeneous or linear fields. Simulation results are then sensitive to the grid and can no longer be considered as references. We propose a new algorithmic formulation based on the use of null-collisions that eliminate the need for numerical inversion: no volumic grid is required. Benchmark configurations are first considered in order to evaluate the effect of two free parameters: the amount of null-collisions, and the criterion used to decide at which stage a Russian Roulette is used to exit the path tracking process. Then the corresponding algorithm is implemented using a development environment allowing to deal with complex geometries (thanks to computer graphics techniques), leading to a Monte Carlo code that can be easily used for validation of fast radiative transfer solvers embedded in combustion simulators. "Easily" means here that the way the Monte Carlo algorithm deals with both the geometry and the temperature/pressure/concentration fields is independent of the choices made inside the combustion solver: there is no need for the design of a new pathtracking procedure adapted to each new CFD grid. The Monte Carlo simulator is ready for use as soon as combustion specialists provide a localization/interpolation tool defining what they consider as the continuous input fields best suiting their numerical assumptions. The radiation validation tool introduces no grid in itself.

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Radiative Properties of Gases

Solovjov

Webb

André

2018

Handbook of Thermal Science and Engineering

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Generalization of the k-moment method using the maximum entropy principle. Application to the NBKM and full spectrum SLMB gas radiation models

Cited by 11 publications

References 17 publications

Multi-sensor measurement and data fusion technology for manufacturing process monitoring: a literature review

Multi-sensor measurement and data fusion technology for manufacturing process monitoring: a literature review

Null-collision meshless Monte-Carlo—Application to the validation of fast radiative transfer solvers embedded in combustion simulators

Radiative Properties of Gases

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