An ensemble deep learning model for exhaust emissions prediction of heavy oil-fired boiler combustion
Accurate and reliable prediction of exhaust emissions is crucial for combustion optimization
control and environmental protection. This study proposes a novel ensemble deep learning …
control and environmental protection. This study proposes a novel ensemble deep learning …
A hybrid deep neural network model for NOx emission prediction of heavy oil-fired boiler flames
Z Han, Y Xie, MM Hossain, C Xu - Fuel, 2023 - Elsevier
Accurate NOx emission monitoring is essential for an in-depth understanding of the
combustion state. However, establishing an accurate emission prediction model based on …
combustion state. However, establishing an accurate emission prediction model based on …
A flame imaging-based online deep learning model for predicting NOₓ emissions from an oxy-biomass combustion process
To reduce NO x (nitrogen oxide) emissions from fossil fuel and biomass-fired power plants,
online prediction of NO x emissions is important in the plant operation. Data-driven models …
online prediction of NO x emissions is important in the plant operation. Data-driven models …
A hybrid deep neural network based prediction of 300 MW coal-fired boiler combustion operation condition
ZZ Han, YZ Huang, J Li, B Zhang, MM Hossain… - Science China …, 2021 - Springer
In power generation industries, boilers are required to be operated under a range of different
conditions to accommodate demands for fuel randomness and energy fluctuation. Reliable …
conditions to accommodate demands for fuel randomness and energy fluctuation. Reliable …
Flame images for oxygen content prediction of combustion systems using DBN
As an increasingly popular method in the machine learning field, deep learning is applied to
industrial combustion processes in this work. Using easily available color flame images …
industrial combustion processes in this work. Using easily available color flame images …
Prediction of combustion state through a semi-supervised learning model and flame imaging
Accurate prediction of combustion state is crucial for an in-depth understanding of furnace
performance and optimize operation conditions. Traditional data-driven approaches such as …
performance and optimize operation conditions. Traditional data-driven approaches such as …
Augmented flame image soft sensor for combustion oxygen content prediction
S Gao, Y Dai, Y Li, Y Jiang, Y Liu - Measurement Science and …, 2022 - iopscience.iop.org
Oxygen content is one of the most critical factors for high-efficiency combustion. Online
measurement of oxygen content from flame images is important but still challenging. For …
measurement of oxygen content from flame images is important but still challenging. For …
Prediction of NOx emissions from a biomass fired combustion process based on flame radical imaging and deep learning techniques
This article presents a methodology for predicting NOx emissions from a biomass
combustion process through flame radical imaging and deep learning (DL). The dataset was …
combustion process through flame radical imaging and deep learning (DL). The dataset was …
Prediction of oil-fired boiler emissions with ensemble methods considering variable combustion air conditions
MH Park, JJ Hur, WJ Lee - Journal of Cleaner Production, 2022 - Elsevier
Exhaust gases emitted from ships in ports pose a number of concerns. Together with the
increasing trend of logistics transportation by ships, air pollutants generated from ships in …
increasing trend of logistics transportation by ships, air pollutants generated from ships in …
A deep learning model for measuring oxygen content of boiler flue gas
Z Tang, Y Li, A Kusiak - IEEE access, 2020 - ieeexplore.ieee.org
The oxygen content of boiler flue gas is a valid indicator of boiler efficiency and emissions.
Measuring the oxygen content of boiler flue gas is time consuming and costly. To overcome …
Measuring the oxygen content of boiler flue gas is time consuming and costly. To overcome …