一种并行神经网络的机械故障诊断方法研究

Research on a Kind of Method Based on Parallel Neural Network for Diagnosis Fault in Mechanical Equipment

在机械设备故障诊断中 ,对并发故障的诊断是一个难解决的问题 ,本文提出了用一种并行神经网络的方法来解决这个问题 .介绍了并行神经网络故障诊断的机理 ,并且以饱和汽轮机的冷凝器为诊断对象讨论了该方法的实现技术 .

Diagnosis Concurrent malfunction is a difficult problem in diagnosis fault of mechanical equipment.We proposed a method based on parallel neural network,with which the problem has been solved.We expounded the principle of diagnosis malfunction based on parallel neural network ,and discussed the technique of utilizing the method,and developed a diagnosis system for the condenser of saturated steamer.