神经网络在齿轮箱诊断中的应用

在认真学习了Elman网络的理论框架的基础上,总结分析了Elman神经网络用于故障诊断的不足,提出了改进的Elman神经网络,并将其应用于齿轮箱故障的故障诊断。建立了改进的Elman神经网络并进行仿真,经过一系列训练与测试,仿真结果表明：改进后的elman网络在稳定性及收敛速度等方面有明显优势,是可以在实际工程故障诊断中应用的一种非常有效的方法。

Of improved elman neural network in the gearbox fault diagnosis

Based on the carefully study of the theoretical framework of the Elman neural network, this paper analyzes the shortcomings of Elman network, puts forward a modified Elman network, which is applied to fault diagnosis of engine gearbox. Modified Elman network is established to simulate.Through a series of training and testing, the results prove that fault diagnosis of engine gearbox based on the modified Elman neural network has high stability and diagnoses gearbox effectively.It can provides a more efficient method for gearbox fault diagnosis technology.