模糊自组织神经网络在航空发动机故障诊断中的应用

Application of Fuzzy Self-Organizing Neural Network to Aeroengine Fault Diagnosis

介绍了模糊自组织神经网络在航空发动机故障诊断中的应用方法 ,并通过实例验证了该方法在发动机故障分类中的实用性。该方法具有结构算法简单、无监督自学习和侧向联想等功能。它有很好的应用前景 ,可以广泛应用于发动机的故障诊断。

A new diagnostic method has been developed,which applies the fuzzy self-organizing neural network to aeroengine fault diagnosis.In this method,the relationships between the fault causation and fault symptoms are established aecording to the fuzzy mathematics.Then the mapped 2-dimension pictures of the sample fault set and actual fault are obtained by a self-organizing neural network.At last,the reasonable conclusions are drown from the comparison between them.The case study of an engine has verified the practicability of this method.The proposed method features a simple structural algorithm,supervision free self-study and lateral association,etc.