Volumetric emission tomography for combustion processes
This is a comprehensive, critical, and pedagogical review of volumetric emission
tomography for combustion processes. Many flames that are of interest to scientists and …
tomography for combustion processes. Many flames that are of interest to scientists and …
Multivariate ensembles-based hierarchical linkage strategy for system reliability evaluation of aeroengine cooling blades
To improve the computing accuracy and efficiency of system reliability evaluation for
aeroengine cooling blades, by fusing the benefits of multivariate ensembles model (ME) into …
aeroengine cooling blades, by fusing the benefits of multivariate ensembles model (ME) into …
Extreme learning machine based transfer learning for aero engine fault diagnosis
YP Zhao, YB Chen - Aerospace science and technology, 2022 - Elsevier
Aero engine fault diagnosis is very important to ensure flight safety. However, the lack of
fault data limits aero engine fault diagnosis. Fortunately, transfer learning can transfer data …
fault data limits aero engine fault diagnosis. Fortunately, transfer learning can transfer data …
Recent advances and applications of digital holography in multiphase reactive/nonreactive flows: a review
In various multiphase flows, the characterization of particle dynamics is important in the
understanding of the interaction between particles and the surrounding flows. Digital …
understanding of the interaction between particles and the surrounding flows. Digital …
Cascade ensemble learning for multi-level reliability evaluation
For complex systems involving multiple operating conditions and multiple failure modes, its
reliability analysis usually presents the cascade failure correlation between multiple levels …
reliability analysis usually presents the cascade failure correlation between multiple levels …
Transfer-learning-based multi-wavelength laser sensor for high fidelity and real-time monitoring of ambient temperature and humidity
Multi-wavelength laser absorption spectroscopy has the advantages of superior sensitivity,
accuracy, and robustness for gas sensing applications, offering an opportunity for the …
accuracy, and robustness for gas sensing applications, offering an opportunity for the …
Aerodynamic optimization of high-lift devices using a 2D-to-3D optimization method based on deep reinforcement learning and transfer learning
The computational fluid dynamics is the main method to evaluate the aerodynamic
performance for the optimization of high-lift devices. Currently, the direct three-dimensional …
performance for the optimization of high-lift devices. Currently, the direct three-dimensional …
Voxel-free neural volume reconstruction technique for volumetric flame reconstructions
Volumetric reconstructions of transparent or translucent mediums are critical for various
applications. For instance, successful reconstructions of transient and turbulent flames will …
applications. For instance, successful reconstructions of transient and turbulent flames will …
Hierarchical temperature imaging using pseudoinversed convolutional neural network aided TDLAS tomography
J Si, G Li, Y Cheng, R Zhang… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
As an in situ combustion diagnostic tool, tunable diode laser absorption spectroscopy
(TDLAS) tomography has been widely used for imaging 2-D temperature distributions in …
(TDLAS) tomography has been widely used for imaging 2-D temperature distributions in …
PENTAGON: Physics-enhanced neural network for volumetric flame chemiluminescence tomography
This study proposes a physics-enhanced neural network, PENTAGON, as an inference
framework for volumetric tomography applications. By leveraging the synergistic …
framework for volumetric tomography applications. By leveraging the synergistic …