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

Author:

Hasti Veeraraghava Raju,Navarkar Abhishek,Gore Jay P.

Funder

Graduate School, Purdue University

National Aeronautics and Space Administration

Publisher

Elsevier BV

Subject

Artificial Intelligence,General Energy,Engineering (miscellaneous)

Reference49 articles.

1. Gas turbine combustion: alternative fuels and combustion;Arthur,2010

2. 7 - Combustion Instabilities in lean premixed systems, lean combustion;O'Connor,2016

3. Overview of the national jet fuels combustion program;Colket;AIAA J,2017

4. A simple reactor-based approach for correlating lean blowout of turbopropulsion engine combustors, 37th Joint Propulsion Conference and Exhibit;Mongia;Am Inst Aeronautic Astronautic,2001

5. High-performance computing model for a bio-fuel combustion prediction with artificial intelligence, school of mechanical engineering. Ph.D Thesis;Hasti,2019

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