摘要
概率神经网络是一种学习规则简单、训练速度快、应用广泛的人工神经网络。对该方法进行了理论分析,并将其应用于旋转机械—风机的故障诊断中。仿真结果表明用概率神经网络对风机振动故障进行诊断是可行而有效的。
Probabilistic neural network（PNN） is a kind of artificial neural network, which is simple in learning rule, rapid in training and widely used. PNN is analyzed in theory, and applied in fault diagnosis of fan. Simulation result shows that it is feasible and effective to apply PNN in fault diagnosis of fan vibration.
出处
《煤矿机械》
北大核心
2006年第5期912-914,共3页
Coal Mine Machinery
