Nox emission estimation in gas turbines via interpretable neural network observer with adjustable intermediate layer considering ambient and boundary conditions-Reference-Cited by-同舟云学术

Nox emission estimation in gas turbines via interpretable neural network observer with adjustable intermediate layer considering ambient and boundary conditions

Published:2022-02 Issue: Volume:189 Page:110429
ISSN:0263-2241
Container-title:Measurement
language:en
Short-container-title:Measurement

Author:

Huang Dawen,Tang Shanhua,Zhou Dengji,Hao Jiarui

Funder

China Association for Science and Technology

National Natural Science Foundation of China

China Academy of Space Technology

Publisher

Elsevier BV

Subject

Applied Mathematics,Electrical and Electronic Engineering,Condensed Matter Physics,Instrumentation

Reference48 articles.

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2. Multispectral pyrometer for high temperature measurements inside combustion chamber of gas turbine engines;Mekhrengin;Measurement,2019

3. Predicting NOx emissions in diesel engines via sigmoid NARX models using a new experiment design for combustion identification;Alcan;Measurement,2019

4. A hybrid model integrating improved flower pollination algorithm-based feature selection and improved random forest for NOx emission estimation of coal-fired power plants;Wang;Measurement,2018

5. Review of NOx Emission Factors for Stationary Combustion Sources and AP-42 Update;Milligan;United States Environmental Protection Agency (EPA),1979

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