Machine learning applied to retrieval of temperature and concentration distributions from infrared emission measurements
Inversion of temperature and species concentration distributions from radiometric
measurements involves solving nonlinear, ill-posed and high-dimensional problems …
measurements involves solving nonlinear, ill-posed and high-dimensional problems …
Efficient two-dimensional scalar fields reconstruction of laminar flames from infrared hyperspectral measurements with a machine learning approach
The latest hyperspectral measurements of combustion flames by Rhoby et al.(2014)
provided extensive spatially and spectrally resolved information of flame radiation, which …
provided extensive spatially and spectrally resolved information of flame radiation, which …
Accurate temperature prediction with small absorption spectral data enabled by transfer machine learning
It is of great interest to explore the possibility of applying machine learning methods for
tunable diode laser absorption spectroscopy (TDLAS). Conventional supervised machine …
tunable diode laser absorption spectroscopy (TDLAS). Conventional supervised machine …
Predicting simultaneously fields of soot temperature and volume fraction in laminar sooting flames from soot radiation measurements-a convolutional neural networks …
Y Wu, Z Li, Q Wang, G Legros, C Li, Z Yan - Optics Express, 2022 - opg.optica.org
An original convolutional neural network, ie U-net approach, has been designed to retrieve
simultaneously local soot temperature and volume fraction fields from line-of-sight …
simultaneously local soot temperature and volume fraction fields from line-of-sight …
A machine learning approach assisting soot radiation-based thermometry to recover complete flame temperature field in a laminar flame
Soot radiation-based thermometry is a popular approach for flame temperature diagnostics.
However, it usually suffers from flame temperature information lost in the regions of soot …
However, it usually suffers from flame temperature information lost in the regions of soot …
[PDF][PDF] Open-Path FTIR Spectral Radiation Intensity Of Hot Combustion Gases–Measurement And Interpretation
S Cięszczyk - Metrology and Measurement Systems, 2015 - psjd.icm.edu.pl
Spectral remote sensing is a very popular method in atmospheric monitoring. The paper
presents an approach that involves mid-infrared spectral measurements of combustion …
presents an approach that involves mid-infrared spectral measurements of combustion …
Determination of plume temperature distribution based on the ratios of the radiation intensities of multiple CO2 lines
S Cięszczyk - Optical Sensors 2015, 2015 - spiedigitallibrary.org
New inversion scheme for gas temperature distribution retrieval utilized CO 2 spectrum
between 2350 cm-1 and 2400 cm-1 is proposed. Inversion model is build base on neural …
between 2350 cm-1 and 2400 cm-1 is proposed. Inversion model is build base on neural …
[PDF][PDF] Inversion of Remote Sensing Data Using Multiple Ratios of Spectral Radiation Intensities and Neural Networks
S Cięszczyk - Acta Physica Polonica A, 2017 - bibliotekanauki.pl
The article presents a method for determining the content and temperature on the basis of
spectra from remote measurements. The technique uses measurements of a high resolution …
spectra from remote measurements. The technique uses measurements of a high resolution …