冶金风机是钢铁生产工艺过程中的关键设备,由于其长期工作在高温、高压、尤其是高金属粉尘的恶劣环境下,极易发生故障。本文结合神经网络等理论,对冶金风机的智能故障特点进行了深入地研究,建立了基于集成动态神经网络的冶金风机智能故障诊断系统。 Metallurgical fan is the key equipment in the steel production process, because of its long-term work in high temperature, high pressure, especially the harsh environment of high metal dust, prone to failure. In this paper, the intelligent fault characteristics of metallurgical wind turbines are studied in depth based on neural network theory and so on, and an intelligent fault diagnosis system of metallurgical wind turbines based on integrated dynamic neural network is established.