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

VR Hasti, A Navarkar, JP Gore - Energy and AI, 2021 - Elsevier
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 …

Development of a Pressurized, Liquid-Fueled Combustor for Noise Measurements

SJ Patel, S Ha, V Nair, S Adhikari, D Wu… - AIAA SCITECH 2023 …, 2023 - arc.aiaa.org
View Video Presentation: https://doi. org/10.2514/6.2023-1348. vid This paper presents the
development of an aviation combustion noise research facility for Rich-Quench-Lean …

[HTML][HTML] Correlation analysis of chemiluminescent and pollutant emissions of a liquid-fueled turbulent swirl burner

G Hidegh, V Józsa - Journal of the Energy Institute, 2020 - Elsevier
Real-time combustion and emission control is an ongoing challenge in combustion
technology and science. Hence, the scope of the present paper is the investigation of the …

[PDF][PDF] Temporal and spectral correlation of acoustic and chemiluminescent signal of a liquid-fueled turbulent swirl burner

G Hidegh, V Józsa - 2019 - real.mtak.hu
Real-time diagnostics and control of modern combustion chambers are required in order to
fulfill pollutant emission standards and ensure high-efficiency operation. If the acoustic …