Artificial neural network regression model to predict flue gas temperature and emissions with the spectral norm of flame image

S Golgiyaz, MF Talu, C Onat - Fuel, 2019 - Elsevier
This paper presents an experimental study on flue gas temperature (FGT) and emissions
estimation in home-type nut coal-fired burner. The proposed method does not require prior …

[HTML][HTML] Estimation of excess air coefficient on coal combustion processes via gauss model and artificial neural network

S Golgiyaz, MF Talu, M Daşkın, C Onat - Alexandria Engineering Journal, 2022 - Elsevier
It is no doubt that the most important contributing cause of global efficiency of coal fired
thermal systems is combustion efficiency. In this study, the relationship between the flame …

An artificial intelligence regression model for prediction of nox emission from flame image

S Golgiyaz, M Daşkın, C Onat… - Journal of Soft Computing …, 2022 - dergipark.org.tr
In this study, NOx emission has been estimated by processing the flame image of visible
wavelength and its experimental verification has been presented. The experimental study …

Flame stability measurement through image moments and texture analysis

S Golgiyaz, MS Cellek, M Daskin… - Measurement Science …, 2023 - iopscience.iop.org
In this article, the first two moments of the image, mean and standard deviation, uniform local
binary pattern (LBP) texture analysis methods were experimentally investigated in coal-fired …

Prediction of equivalence ratio in pulse combustor from ion current amplitude spectrum

F Li, Z Cao, L Xu, Y Xie - Fuel, 2018 - Elsevier
This study presents a method for the prediction of equivalence ratio in pulse combustor from
the ion current amplitude spectrum measured by a multi-frequency ion current sensor …

Prediction of combustion states from flame image in a domestic coal burner

C Onat, M Daşkin, S Toraman… - Measurement Science …, 2021 - iopscience.iop.org
Coal is still a strategic fuel for many developing countries. The environmental impact of
emissions resulting from the widespread use of coal worldwide is a matter of serious debate …

[PDF][PDF] A basic ann system for prediction of excess air coefficient on coal burners equipped with a ccd camera

C Onat, M Daskin - Mathematics and Statistics, 2019 - researchgate.net
Excess air coefficient (λ) is the most important parameter characterizing the combustion
efficiency. Conventional measurement of λ is practiced by way of the flue analyze device …

Flame image processing based on particle system in patrol robot

M Zhao, D Zhao - … on Intelligent Human-Machine Systems and …, 2018 - ieeexplore.ieee.org
Patrol robots used in coal mines are more and more applied to replace the manual
inspection to find out the problems in time by means of sensors, data collection and …

Görüntü İşleme ve Makine Öğrenmesi Yöntemleri ile Baca Gazı Sıcaklığının Tahmin Edilmesi

S Golgiyaz, MF Talu, C Onat - Avrupa Bilim ve Teknoloji Dergisi, 2019 - dergipark.org.tr
Bu makalede, küçük ölçekli fındık kömürü yakıtlı brülörde baca gazı sıcaklığı tahmini ile ilgili
deneysel bir çalışma sunulmaktadır. Baca gazı sıcaklığı yakıt türüne göre belli bir aralıkta …

Parameter Analysis of Convolutional Neural Network Operated on Embedded Platform for Estimation of Combustion Efficiency in Coal Burners

V Gündüzalp, G Çelik, MF Talu, C Onat - Türk Doğa ve Fen Dergisi, 2023 - dergipark.org.tr
Accurately and effectively calculating combustion efficiency in coal burners is crucial for
industrial boiler manufacturers. Two main approaches can be used to calculate boiler …