7 citations · 15 across the 5 of their papers we have counts for
5 papers
Hierarchical Temperature Imaging Using Pseudo-Inversed Convolutional Neural Network Aided TDLAS Tomography
Jingjing Si, Guoliang Li, Yinbo Cheng +3
As an in situ combustion diagnostic tool, Tunable Diode Laser Absorption Spectroscopy (TDLAS) tomography has been widely used for imaging of two-dimensional temperature distributio…
Target-Dependent Chemical Species Tomography with Hybrid Meshing of Sensing Regions
Rui Zhang, Jingjing Si, Godwin Enemali +2
This paper develops a hybrid-size meshing scheme for target-dependent imaging in Chemical Species Tomography (CST). The traditional implementation of CST generally places the targe…
Cost-Effective Quasi-Parallel Sensing Instrumentation for Industrial Chemical Species Tomography
Godwin Enemali, Rui Zhang, Hugh McCann +1
Chemical Species Tomography (CST) has been widely applied for imaging of critical gas-phase parameters in industrial processes. To acquire high-fidelity images, CST is typically im…
CSTNet: A Dual-Branch Convolutional Network for Imaging of Reactive Flows using Chemical Species Tomography
Yunfan Jiang, Jingjing Si, Rui Zhang +4
Chemical Species Tomography (CST) has been widely used for in situ imaging of critical parameters, e.g. species concentration and temperature, in reactive flows. However, even with…
Relative Entropy Regularised TDLAS Tomography for Robust Temperature Imaging
Yong Bao, Rui Zhang, Godwin Enemali +4
Tunable Diode Laser Absorption Spectroscopy (TDLAS) tomography has been widely used for in situ combustion diagnostics, yielding images of both species concentration and temperatur…