贫燃熄火实验预测方法综述

贫燃熄火（Lean Blowout，LBO）属于一类特殊的不稳定燃烧现象，往往导致严重后果。因此，及时准确地预测出贫燃熄火现象是实现燃烧稳定性控制的一个重要前提。本文综述了2000年以来，基于化学发光信号、可见光谱颜色信号、温度信号、声压信号和离子电信号预测LBO的原理，以及其采集方式和各自特点。接着介绍了将这些信号进行分析处理得到控制参数的5类方法，分别为统计法、阈值-事件法、频谱法、符号法和非线性动力学法，将这些方法进行综合比较，评价了其预测效果。最后从实际应用的角度出发，对贫燃熄火检测技术的未来发展提出展望。

Experimental prediction of lean blowout: a review

Lean Blowout (LBO) is a special kind of instable combustion phenomena which can lead to catastrophic consequences. Thus, it is critical to accurately predict and control the occurrence of LBO. In this work, we summarize the methods developed since 2000 for the prediction of LBO based on flame chemiluminescence, color, temperature, acoustic, and ion signals. How to collect these signals is described as well as five methods of analyzing the collected signals are introduced and compared against each other. Finally, conclusions are provided and future research perspectives are proposed.