转子故障智能诊断与转子平衡集成系统的开发

DEVELOPMENT OF A COMPOSITIVE SYSTEM FOR ROTOR BALANCING AND FAULT DIAGNOSING WITH INTELLIGENCE

对于转子最常见的故障 ,提出了用BP神经网络进行诊断 ,当转子为不平衡故障时 ,可以直接利用本系统进行平衡实验 ,从而确定不平衡量的大小及方向。同时集成系统的开发 ,克服了目前常见的一些软件诊断故障与消除故障相脱节的缺陷。

In the paper BP neural network is applied to diagnose rotor fault.When imbalance fault appears,the system can also be applied to balance the rotor.The value of a balancing mass and its location will be automatically determined. Devlopment of such a compositive system conquers the objection that the functions of fault diagnosis and fault removal are disjointed each other in a lot of current systems.