Evaluation of Deep Learning-Based Segmentation Methods for Industrial Burner Flames

• Published in: Energies (Basel) Vol. 14; no. 6; p. 1716
• Main Authors: Großkopf, Julius, Matthes, Jörg, Vogelbacher, Markus, Waibel, Patrick
• Format: Journal Article
• Language: English
• Published: MDPI AG 01.03.2021
• Subjects: afterburner chamber; combustion process control; flame segmentation; image instance segmentation; industrial automation; multi-fuel swirl burner

The energetic usage of fuels from renewable sources or waste material is associated with controlled combustion processes with industrial burner equipment. For the observation of such processes, camera systems are increasingly being used. With additional completion by an appropriate image processing...