基于RBF神经网络的风力发电机组故障诊断研究

Fault diagnosis for wind turbine based on RBF neural network

风力发电机组是一个复杂的机电系统,采用整机诊断模式将使系统非常复杂,诊断效果也不理想;采用两层诊断模式不但实现起来简单,而且可以获得很好的诊断效果。使用RBF神经网络对发电机子系统进行故障诊断,仿真结果表明该诊断方法满足要求。

Because wind turbine is a complex mechanical and electrical system,using diagnostic mode for whole wind turbine will be a very complex system,diagnostic effect is not satisfying;diagnosis using two-layered model is not only simple,but the diagnosis could get very good effect.RBF neural network will be used to diagnose for the generator subsystem,and the diagnostic methods to meet demand will be proved by simulation results.