Dynamic Data-Driven Prediction of Lean Blowout in a Swirl-Stabilized Combustor
This paper addresses dynamic data-driven prediction of lean blowout (LBO) phenomena in confined combustion processes, which are prevalent in many physical applications (e.g., land-based and aircraft gas-turbine engines). The underlying concept is built upon pattern classification and is validated fo...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
SAGE Publishing
2015-09-01
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| Series: | International Journal of Spray and Combustion Dynamics |
| Online Access: | https://doi.org/10.1260/1756-8277.7.3.209 |