Characterization of complexities in combustion instability in a lean premixed gas-turbine model combustor

被引:95
|
作者
Gotoda, Hiroshi [1 ]
Amano, Masahito [1 ]
Miyano, Takaya [1 ]
Ikawa, Takuya [1 ]
Maki, Koshiro [1 ]
Tachibana, Shigeru [2 ]
机构
[1] Ritsumeikan Univ, Dept Mech Engn, Kusatsu, Shiga 5258577, Japan
[2] Japan Aerosp Explorat Agcy, Aerosp Res & Dev Directorate, Chofu, Tokyo 1828522, Japan
关键词
TIME-SERIES; ESTIMATING INVARIANTS; NONLINEAR PREDICTION; DISTINGUISHING CHAOS; DETERMINISTIC CHAOS; NOISE-LEVEL; DYNAMICS; OSCILLATIONS; SURROGATE; MOTION;
D O I
10.1063/1.4766589
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
We characterize complexities in combustion instability in a lean premixed gas-turbine model combustor by nonlinear time series analysis to evaluate permutation entropy, fractal dimensions, and short-term predictability. The dynamic behavior in combustion instability near lean blowout exhibits a self-affine structure and is ascribed to fractional Brownian motion. It undergoes chaos by the onset of combustion oscillations with slow amplitude modulation. Our results indicate that nonlinear time series analysis is capable of characterizing complexities in combustion instability close to lean blowout. (C) 2012 American Institute of Physics. [http://dx.doi.org/10.1063/1.4766589]
引用
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页数:8
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