基于小波神经网络火电厂锅炉故障诊断研究

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。

Research on Fault Diagnosis of Power Plant Boiler Based on WNN

As energy conversion devices,boilers are prone to failure.In order to effectively deal with such incidents,it is urgent to strengthen studying the boiler faults in the power production and then a perfect and effective emergency managenent system is established,to minimize the impact and loss of boiler faults.In this paper,the research method of the boiler faults diagnosis in the thermal power plant is proposed based on WNN,the boiler faults diagnosis in the thermal power plant is researched systematically.