Abstract: 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.