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›› 2001, Vol. 27 ›› Issue (02): 84-86.

• 论文 • 上一篇    下一篇

Kohonen神经网络用于泵站控制系统故障诊断的研究

华容,林家骏,俞金寿   

  1. 上海化工高等专科学校自动化系 上海 200233,华东理工大学自动化研究所 上海 200237,华东理工大学自动化研究所 上海 200237
  • 发布日期:2001-02-25

The Fault Diagnosis Based on Kohonens Neural Network in Pump Control System

HUA Rong1,LIN Jiajun2, YU Jinshou2   

  1. (Dept. of Automation,Shanghai Institute of Chemical Technology ,Shanghai 200233; 2. Dept. of Automation, East China University of Science and Technology, Shanghai 200237)
  • Published:2001-02-25

摘要: 采用kohonen神经网络是一种具有自组织特征映射(SOFM)的人工神经模型,并对其在泵站自动控制系统故障诊断中的应用进行研究。得出:自组织特征映射模型具有自学习功能、运算速度快、类型识别能力强的优点。

关键词: 神经网络, 控制系统, 故障诊断

Abstract: In this paper,Kohonens neural network model and the application of fault diagnosis based on this method in PLC control system are introduced.And compared with BP network,that the model of self_organizing feature map (SOFM) network has self_learning function,rapid arichmetic, strong type recognition and wide application prospect are presented.

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