Gas Turbine Engine Combustion Chamber Pollutant Meter Using Neural Technology

被引：0

作者：

Khizhnyakov, Yuri N. ^{[1
]}

Storozhev, Sergei A. ^{[2
]}

Nikulin, Vyacheslav S. ^{[2
]}

机构：

[1] Perm Natl Res Polytech Univ, Chair Automat & Telemech, Perm, Russia

[2] Perm Natl Res Polytech Univ, Perm, Russia

来源：

PROCEEDINGS OF THE 2021 IEEE CONFERENCE OF RUSSIAN YOUNG RESEARCHERS IN ELECTRICAL AND ELECTRONIC ENGINEERING (ELCONRUS) | 2021年

关键词：

gas turbine engine; the combustion chamber; meter of harmful substances; neural network; fuzzy regulator;

D O I：

10.1109/ElConRus51938.2021.9396475

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Development of a sensor based on neuro-fuzzy technology for an adaptive virtual meter of harmful substances and the distribution of fuel supply to the combustion chamber between diffusion and homogeneous collectors in order to reduce harmful substances for the takeoff and landing mode of an aircraft in the airport area is described.

引用

下载

页码：934 / 936

页数：3

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