Online Estimation of Combustion Oxygen Content with an Image-Augmented Soft Sensor Using Imbalanced Flame Images-Reference-Cited by-同舟云学术

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Online Estimation of Combustion Oxygen Content with an Image-Augmented Soft Sensor Using Imbalanced Flame Images

Published:2023-10-19 Issue:43 Volume:8 Page:40657-40664
ISSN:2470-1343
Container-title:ACS Omega
language:en
Short-container-title:ACS Omega

Author:

Gao Shuang¹,Liu Angpeng²,Jiang Yuxin²,Liu Yi²^ORCID

Affiliation:

1. School of Mechanical and Electrical Engineering, Shaoxing University, Shaoxing 312000, People’s Republic of China

2. Institute of Process Equipment and Control Engineering, Zhejiang University of Technology, Hangzhou 310023, People’s Republic of China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Zhejiang Province

Publisher

American Chemical Society (ACS)

Subject

General Chemical Engineering,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acsomega.3c05593

Reference32 articles.

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

2. Soft sensor design by multivariate fusion of image features and process measurements

3. Quality Characterization and Classification of Engineered Stone Countertops Using a Soft-Sensor Based on Image Analysis

4. Application of statistical modeling of image spatial structures to automated visual inspection of product quality

5. Characterisation of an oxy-coal flame through digital imaging

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1. RegGAN: A Virtual Sample Generative Network for Developing Soft Sensors with Small Data;ACS Omega;2024-01-24

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