摘要
设备的故障与征兆之间往往很难找到一一对应关系。本文基于模糊理论,通过对电厂风机的故障机理的研究,提出了基于神经网络的风机模糊诊断模型,并解决了其中的关键技术。
It is hard to find the exact symptom corresponding to each failure. On the basis of fuzzy theory, and studied the fault reasoning of Blower Fan of Power Plant, the article presents a fuzzy model based of Neural networks for fault diagnosis of Blower Fan, and figures out the key technology.
出处
《现代机械》
2005年第2期32-33,共2页
Modern Machinery
关键词
神经网络
模糊系统
电厂风机
故障诊断
fuzzy system
neural networks
fault diagnosis
power plant fans
