为确保电站锅炉的高效安全运行,需要对燃烧状态进行实时有效的诊断。文中根据直接反应燃烧状态的辐射能量和送入炉膛的燃料量之间的关联性来诊断燃烧状态,通过对锅炉不同工况下运行数据的分析,发现燃烧不稳定时两个变量的熵关联度急剧降低,因此根据灰熵关联度能够实现燃烧状态的快速诊断。 To ensure efficient and safe operation of power station boilers, a real-time and effective diagnosis of the combustion state is required. In this paper, the combustion state is diagnosed based on the correlation between the radiant energy of the direct combustion state and the amount of fuel fed into the furnace. By analyzing the operating data under different operating conditions of the boiler, it is found that the entropy relevancy So it can quickly diagnose the combustion state according to the gray entropy correlation degree.