摘要
介绍了一种基于神经网络的有杆抽油机井井下故障诊断专家系统 ,从抽油泵的泵功图入手 ,简述了神经网络特征参数的选取 .以一个故障子网为例 ,描述了网络结构 ,并举例说明了神经网络故障诊断的过程 .
This paper introduces a fault diagnosis expert system based on neural network for the rod pumped well.According to the graph of pump work. It states simply the selection of characteristic number in the neural network and describes the structure of the network.The process of the fault diagnosis in the neural network is explained with an example of sub network. The diagnostic result shows that the method is effective.
出处
《武汉理工大学学报(交通科学与工程版)》
北大核心
2002年第4期457-459,共3页
Journal of Wuhan University of Technology(Transportation Science & Engineering)