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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 .
In the mechanical equipment fault diagnosis, it is a difficult problem to diagnose the concurrent fault.This paper proposes a parallel neural network method to solve this problem.The mechanism of parallel neural network fault diagnosis is introduced, The condenser discusses the implementation of this method for the diagnosis object.