基于神经网络的汽轮机故障智能诊断系统的设计

Design of Turbine Fault Intelligent Diagnosis System Based on Artificial Neural Networks

介绍了BP神经网络的结构和算法,分析了如何将BP神经网络用于机械设备的故障诊断.结合汽轮发电机组的故障特性,建立了汽轮发电机组故障诊断的神经网络模型,并利用该神经网络模型对汽轮发电机组的故障进行了诊断,诊断结果是正确和有效的.

This paper introduees the model and method of BP neural network, analyzes how to use BP neural network to fault diagnosis of machinery. According to the characteristics of turbine faun, creates the neural network modal of turbine faah diagnosis and uses it in fault diagnosis of turbine. The diagnosis result shows that it is correct and effective.