摘要
该文介绍了人工神经网络的基本性能和BP网络模型及算法 ,然后将神经网络中的BP模型应用于水轮发电机组振动故障诊断中 ,比较了选择不同的网络参数对诊断系统性能的影响。实验证明 ,基于BP网络的水轮发电机组振动故障诊断方法具有很高的实用价值。图 2表 5参
The paper first explains the basic properties of imitated neural systems, BP network models and the method of calculation; then describes how BP models of neural networks can be applied for diagnosing vibration failures of hydraulic turbines, and compares the influence of different network parameters on the properties of the diagnostic system. Practical tests show that BP networks have a remarkable applicatory value for vibration failure diagnosis of hydraulic turbine generator sets. Figs 2, tables 5 and refs 9
出处
《发电设备》
2000年第5期18-21,共4页
Power Equipment
关键词
水轮发电机组
BP网络
振动
故障诊断
hydraulic turbine generator set
BP network
vibration
failure diagnosis
