基于RS-ANN的汽车发动机故障诊断分析

摘要

Considering the simplification ability of rough set theory and the classification ability of artificial neural network,a rough set-neural network combinatorial fault-diagnosing model is constructed.The practical application to fault diagnosis for gasoline engine verifies that the model has comparably fast and accurate diagnosing abilities.%利用粗糙集理论对知识的约简能力及神经网络的分类能力,构建粗糙集-神经网络（RS-ANN）故障诊断组合模型;并将该模型应用于汽车发动机故障数据进行实例验证,该模型诊断速度快,故障诊断正确率高.