Department of Mechanical Engineering, Ritsumeikan University, 1-1-1 Nojihigashi, Kusatsu-shi, Shiga 525-8577, Japan.
Chaos. 2012 Dec;22(4):043128. doi: 10.1063/1.4766589.
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.
我们通过非线性时间序列分析来描述贫预混燃气轮机模型燃烧室中燃烧不稳定性的复杂性，以评估排列熵、分形维数和短期可预测性。在接近贫油熄火的燃烧不稳定性附近，动态行为表现出自相似结构，归因于分数布朗运动。随着燃烧振荡的出现，其经历了混沌，具有缓慢的幅度调制。我们的结果表明，非线性时间序列分析能够描述接近贫油熄火的燃烧不稳定性的复杂性。
