Early Detection of Thermoacoustic Combustion Oscillations in Staged Multisector Combustor

We attempt to detect a precursor of thermoacoustic combustion oscillations in a staged multisector combustor for an aeroengine by the combined methodology of recurrence-based analysis and machine learning. Combustion experiments are conducted at the combustor inlet temperature and pressure of 740 K...

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Bibliographic Details
Published in:AIAA journal 2021-10, Vol.59 (10), p.4086-4093
Main Authors: Shinchi, Yuhei, Takeda, Naohiro, Gotoda, Hiroshi, Shoji, Takeshi, Yoshida, Seiji
Format: Article
Language:English
Subjects:
Aeronautics
Aerospace engineering
Combustion chambers
Determinism
Entropy
Flow velocity
Fuel flow
Inlet temperature
Lagrange multiplier
Machine learning
Oscillations
Precursors
Sensors
Support vector machines
Thermoacoustics
Time series
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Summary:We attempt to detect a precursor of thermoacoustic combustion oscillations in a staged multisector combustor for an aeroengine by the combined methodology of recurrence-based analysis and machine learning. Combustion experiments are conducted at the combustor inlet temperature and pressure of 740 K and 1340 kPa, respectively. The joint dimensional vicinity Jd and the determinism of recurrence plots De, effectively capture significant changes in dynamical state during a transition from stable combustion to well-developed combustion oscillations. The feature space of the Jd−De plane, which is obtained using a support vector machine, is found to be a promising tool for detecting a precursor of combustion oscillations with increasing main fuel flow rate while maintaining the pilot fuel flow rate.
ISSN:0001-1452
1533-385X
DOI:10.2514/1.J060268