Development and evaluation of machine learning models for premixed flame classification in different hydrogen-natural gas proportions using images and audio

Development and evaluation of machine learning models for premixed flame classification in different hydrogen-natural gas proportions using images and audio

This study presents a novel approach for the automatic classification of flames in different hydrogen-natural gas mixtures using machine learning techniques. The primary goal is to explore the potential of integrating audio and image data for flame characterization, with a specific focus on hydrogen...

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Bibliographic Details
Main Authors: Pedro Narvaez, Alejandro Lopez, Jousef E. Karam, Alejandro Restrepo, Andrés A. Amell
Format: Article
Language:English
Published: Elsevier 2025-09-01
Series:Results in Engineering
Subjects:
Flame classification
Hydrogen-natural gas mixtures
Machine learning
Audio signals
Mel spectrograms
Convolutional Neural Networks (CNN
Online Access:http://www.sciencedirect.com/science/article/pii/S2590123025020754
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http://www.sciencedirect.com/science/article/pii/S2590123025020754

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