SOM神经网络在全液压钻机液压系统故障诊断中的应用

利用神经网络的非线性映射及其高度的自组织和自学习能力,将SOM网络应用于钻机液压系统的故障诊断。根据钻机液压系统故障的特点,选取能够表征全液压钻机故障特点的样本,设计相应的SOM神经网络,并在MATLAB环境下实现了对网络的训练和仿真实验,表明该方法有很强的实用性,为全液压钻机的故障诊断提供了一种途径。

Application of SOM Neural Network in Fault Diagnosis for Hydraulic System of Hydraulic Drilling Rig

SOM network is applied to the fault diagnosis of hydraulic drilling rig by using nonlinear mapping of neural network and its ability of self-organization and self-learning.According to the characteristics of hydraulic system of drilling rig,take fault sample that can be characterize the hydraulic characteristics of drilling rig,building the SOM neural network corresponding sample,and training and simulation experiment in the MATLAB environment.Results show that the method is effective on the fault diagnosis...