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RBF神经网络在传感器故障诊断中的应用研究
引用本文:翟卫青,赵志敏.RBF神经网络在传感器故障诊断中的应用研究[J].科技广场,2006(5):12-14.
作者姓名:翟卫青  赵志敏
作者单位:平顶山学院,平顶山,467002
摘    要:本文针对传感器在自动化系统中的重要性,指出了传感器故障诊断的必要性、可行性以及实现的基本方法。根据神经网络的原理与特点,阐述了RBF神经网络的基本理论和优点,提出了一种基于RBF神经网络用于传感器故障诊断的思路和方法。

关 键 词:传感器  神经网络  故障诊断  RBF神经网络
文章编号:1671-4792-(2006)5-0028-03

a Research on Fault Detection Diagnosis for Sensor Using RBF Neural Network
Zhai Weiqing,Zhao Zhimin.a Research on Fault Detection Diagnosis for Sensor Using RBF Neural Network[J].Science Mosaic,2006(5):12-14.
Authors:Zhai Weiqing  Zhao Zhimin
Institution:Pingdingshan University, Pingdingshan 467002
Abstract:Aimed at the importance of sensor in the automation system, this paper pointed out that feasibility and necessity of fault detection diagnosis for sensor, and basic method of the realization. According to the principle and character of the neural network ,elaborate the basic theories advantages of the RBF neural network, put forward a kind of way of thinking and method used for fault detection diagnosis of sensor based on RBF neural network.
Keywords:Sensor  Neural Network  Fault Detecting Diagnosis  RBF Neural Network
本文献已被 CNKI 维普 万方数据 等数据库收录!
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