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