改进的RBF在水轮发电机组故障诊断中的应用  

Application of Modified RBF Neural Network in Fault Diagnosis of Hydro-generating Units

作　　者：岳晓娜[1] 徐启[1] 李建新[1] 

机构地区：[1]华北水利水电学院电力学院,河南郑州450011

出　　处：《水电能源科学》2008年第5期169-170,177,共3页Water Resources and Power

摘　　要：引用一种改进的RBF神经网络训练方法分析诊断水轮发电机组故障,结果表明该模型计算精度较高、收敛速度快、能满足工程需要,为水轮发电机组故障诊断提供了一种有效的方法。A new improving training method for RBF neural network is used to analyze and diagnose faults of the hydro-generating units. The results show that RBF neural network model has the advantages of high precision, fast convergence rate, the results meet the project needs, and it offers an effective method for the fault diagnosis of the hydrogenerating units.

关 键 词：故障诊断 RBF神经网络 水轮发电机组 振动 

分 类 号：TM312[电气工程—电机] TP277[自动化与计算机技术—检测技术与自动化装置]