Unburnt carbon estimation through flame image and gauss process regression-Reference-Cited by-同舟云学术

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Unburnt carbon estimation through flame image and gauss process regression

Published:2023-03-05 Issue: Volume: Page:1-20
ISSN:2374-068X
Container-title:Advances in Materials and Processing Technologies
language:en
Short-container-title:Advances in Materials and Processing Technologies

Author:

Golgiyaz Sedat¹^ORCID,Demir Usame²^ORCID,Cellek Mehmet Salih²^ORCID,Daşkın Mahmut³^ORCID,Talu M. Fatih⁴^ORCID,Onat Cem⁵^ORCID

Affiliation:

1. Department of Computer Engineering, Bingol University, Bingol, Turkey

2. Department of Mechanical Engineering, Bingol University, Bingol, Turkey

3. Department of Mechanical Engineering, Inonu University, Malatya, Turkey

4. Department of Computer Engineering, Inonu University, Malatya, Turkey

5. Department of Mechanical Engineering, Adiyaman University, Adiyaman, Turkey

Funder

Ulusal Metroloji Enstitüsü, Türkiye Bilimsel ve Teknolojik Araştirma Kurumu

Türkiye Bilimsel ve Teknolojik Araştırma Kurumu

Publisher

Informa UK Limited

Subject

Industrial and Manufacturing Engineering,Mechanics of Materials,General Materials Science

Link

https://www.tandfonline.com/doi/pdf/10.1080/2374068X.2023.2184040

Reference39 articles.

1. Unburned carbon from coal combustion ash: An overview

2. Estimation of excess air coefficient on coal combustion processes via gauss model and artificial neural network

3. Smart Sensor for NOx and SO2 Emissions in Power Station Boilers (SSEPSB)

4. Flame Images for Oxygen Content Prediction of Combustion Systems Using DBN

5. Image-based deep neural network prediction of the heat output of a step-grate biomass boiler

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1. Decarbonising bioenergy through biomass utilisation in chemical looping combustion and gasification: a review;Environmental Chemistry Letters;2023-10-03

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