A data-driven approach using machine learning for early detection of the lean blowout

A data-driven approach using machine learning for early detection of the lean blowout

A data-driven approach using machine learning is presented for the identification of the critical flame location for the early detection of an incipient lean blowout (LBO) in a realistic gas turbine engine combustor under engine-relevant conditions. This method is demonstrated by utilizing the tempe...

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Bibliographic Details
Main Authors: Veeraraghava Raju Hasti, Abhishek Navarkar, Jay P. Gore
Format: Article
Language:English
Published: Elsevier 2021-09-01
Series:Energy and AI
Subjects:
Large Eddy Simulation
Lean blowout
Machine Learning
Support Vector Machine
Early Detection
Online Access:http://www.sciencedirect.com/science/article/pii/S2666546821000525

Internet

http://www.sciencedirect.com/science/article/pii/S2666546821000525

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