火电厂锅炉作为能量转化装置,易发生故障。为了有效应对此类事故,迫切需要加强对电力生产中锅炉故障的研究,进而建立完善、有效的应急管理体系和机制,最大限度地减少锅炉故障的影响和损失。文章提出了基于小波神经网络火电厂锅炉故障诊断研究方法,对火电厂锅炉事故的诊断进行了深入系统的研究。 Thermal power plant boilers as energy conversion device, prone to failure. In order to effectively deal with such accidents, there is an urgent need to strengthen the research on boiler failure in electric power production, so as to establish a sound and effective emergency management system and mechanism to minimize the impact and losses of boiler failures. In this paper, the research method of boiler fault diagnosis based on wavelet neural network is put forward, and the diagnosis of boiler accident in thermal power plant is deeply and systematically studied.