基于人工神经网络的设备故障诊断策略及模型研究

STUDY ON DIAGNOSTIC STRATEGY AND MODEL OF EQUIPMENT FAULT BASED ON ARTIFICIAL NEURAL NETWORKS

文章首先介绍人工种经网络的基本理论和基本模型，然后研究诊断设备的结用特征，担出了“结构树”的概念．并据此分析了设备故障的特点．文章最后以神经网络基本模型为基础，结合设备故障特点，探讨了基于人工神经网络的设备故障诊断策略及模型．

In this P8per,the foundamental theories and models of artificial neural networks(ANN) are briefly introduced. The structural characteristics and fault properties of diagnosed equipment are discussed, and the concept of “struCtural tree”is proposed. By combining fundamental models of ANN with fault propertieS of equipment,a kind of diagnostic strstegy and model based on ANN for equipment fault is presented.