基于粗糙集-遗传神经网络分类器的矿井通风机故障诊断研究

Study on Fault Diagnosis of Mine Ventilator Based on Rough Set-Genetic Algorithm-Nneural Network Algorithm

针对当前矿井通风机机械故障诊断所面临的问题,提出了一种粗糙集-遗传神经网络分类器模型和它的构造方法,模型先利用粗糙集理论约简样本决策表属性,然后再利用遗传神经网络进行网络训练。通过与基本BP网络模型的对比,验证了该方法用于故障诊断的有效性。

Aiming at the problem of the fault diagnosis on mine ventilator,a classification model and its modeling way were proposed,which based on rough set-genetic algorithm-neural network algorithm.First,decision-table was reduced using rougn set（RS）threy.Then the model carried on the training,by GA-BP network parametrs.Compared with the standard BP algorithm model,the result shows the effectiveness of the new proposed model.