Combustion Instability Monitoring through Deep-Learning-Based Classification of Sequential High-Speed Flame Images

In this study, novel deep learning models based on high-speed flame images are proposed to diagnose the combustion instability of a gas turbine. Two different network layers that can be combined with any existing backbone network are established—(1) An early-fusion layer that can learn to extract th...

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Bibliographic Details
Main Authors: Ouk Choi, Jongwun Choi, Namkeun Kim, Min Chul Lee
Format: Article
Language:English
Published: MDPI AG 2020-05-01
Series:Electronics
Subjects:
Online Access:https://www.mdpi.com/2079-9292/9/5/848