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Data-driven Detection and Early Prediction of Thermoacoustic Instability in a Multi-nozzle Combustor

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Thermoacoustic instability (TAI) is a critical issue in modern lean-burn gas-turbine combustors, which is induced by a strong coupling between the resonant combustor acoustics and fluctuations in t... Click to show full abstract

Thermoacoustic instability (TAI) is a critical issue in modern lean-burn gas-turbine combustors, which is induced by a strong coupling between the resonant combustor acoustics and fluctuations in t...

Keywords: driven detection; data driven; combustor; detection early; thermoacoustic instability; instability

Journal Title: Combustion Science and Technology
Year Published: 2020

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