神经网络的多故障诊断层次模型研究

Research on Hierarchical Model for Multipe Faults Diagnosis Based on Artificial Neural Network

人工神经网络已成功应用到实际的故障诊断系统中 ,但大多主要用于单故障诊断情形 实际应用中 ,多故障同时出现的情况却普遍存在 基于神经网络的方法 ,构造了一种用于既能诊断单故障 ,又能诊断多故障的模型 通过实例与传统的诊断模型进行对比 。

Artificial neural network(ANN)has been successfully applied to fault diagnosis systems in real world applications;however,which is mostly used for diagnosing single fault.The simultaneous emergence of multiple faults occurs commonly in practice.In this paper,on the basis of neural network,a diagnosis model is presented for diagnosing not only single fault but also multiple faults In addition,an example is given to demonstrate the feasibility and validity of the proposed model by comparing it with the traditional diagnosis model