Yalei Fu
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View article: Machine Learning-Enhanced Laser Absorption Spectroscopy for Harsh-Environment Combustion Diagnosis
Machine Learning-Enhanced Laser Absorption Spectroscopy for Harsh-Environment Combustion Diagnosis Open
Laser absorption spectroscopy (LAS) has been widely adopted as a diagnostic tool for reactive flow-field monitoring in industrial combustion applications. Despite various advancements in LAS signal processing schemes, these harsh environme…
View article: A fast sensor for non-intrusive measurement of concentration and temperature in turbine exhaust
A fast sensor for non-intrusive measurement of concentration and temperature in turbine exhaust Open
Exhaust gas temperature (EGT) is a key parameter in diagnosing the health of gas turbine engines (GTEs). In this article, we propose a model-driven spectroscopic network with strong generalizability to monitor the EGT rapidly and accuratel…
View article: FPGA-Accelerated Distributed Sensing System for Real-Time Industrial Laser Absorption Spectroscopy Tomography at Kilo-Hertz
FPGA-Accelerated Distributed Sensing System for Real-Time Industrial Laser Absorption Spectroscopy Tomography at Kilo-Hertz Open
Fast and continuous data acquisition (DAQ) with well resolved spectral information is essential for high-speed and high-fidelity measurement of thermophysical parameters of industrial processes using laser absorption spectroscopy tomograph…
View article: A Spatially Progressive Neural Network for Locally/Globally Prioritized TDLAS Tomography
A Spatially Progressive Neural Network for Locally/Globally Prioritized TDLAS Tomography Open
Tunable diode laser absorption spectroscopy tomography (TDLAST) has been widely applied for imaging two-dimensional distributions of industrial flow-field parameters, e.g., temperature and species concentration. Two main interested imaging…
View article: Hybrid Model-Driven Spectroscopic Network for Rapid Retrieval of Turbine Exhaust Temperature
Hybrid Model-Driven Spectroscopic Network for Rapid Retrieval of Turbine Exhaust Temperature Open
Exhaust gas temperature (EGT) is a key parameter in diagnosing the health of gas turbine engines (GTEs). In this article, we propose a model-driven spectroscopic network with strong generalizability to monitor the EGT rapidly and accuratel…
View article: Convolutional Neural Network Aided Chemical Species Tomography for Dynamic Temperature Imaging
Convolutional Neural Network Aided Chemical Species Tomography for Dynamic Temperature Imaging Open
Chemical Species Tomography (CST) using Tunable Diode Laser Absorption Spectroscopy (TDLAS) is an in-situ technique to reconstruct the two-dimensional temperature distributions in combustion diagnosis. However, limited by the lack of proje…
View article: Machine Leaning Based Wavelength Modulation Spectroscopy for Rapid Gas Sensing
Machine Leaning Based Wavelength Modulation Spectroscopy for Rapid Gas Sensing Open
As a non-intrusive, fast-response and highly sensitive and diagnostic tool, Wavelength Modulation Spectroscopy (WMS) has been extensively applied in accurate retrieval of gas properties, e.g. species concentration and temperature. Using th…