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基于神经网络和专家系统的故障诊断
引用本文:徐常胜,张耀清.基于神经网络和专家系统的故障诊断[J].控制与决策,1995,10(4):342-346,351.
作者姓名:徐常胜  张耀清
作者单位:清华大学精密仪器系,中国矿业大学
摘    要:分析了专家系统和神经网络在故障诊断中的应用,针对两种技术各自的优缺点,建立了一个基于神经网络和专家系统的采煤机集成故障诊断系统,介绍了系统的结构,诊断策略及神经网络的学习算法,并给出了仿真结果。

关 键 词:故障诊断  神经网络  专家系统

Fault Diagnosis Based on Neural Network and Expert System
Xu Changsheng, Zhou Zhaoying, Liu Sixing, Zhang Yaoqing.Fault Diagnosis Based on Neural Network and Expert System[J].Control and Decision,1995,10(4):342-346,351.
Authors:Xu Changsheng  Zhou Zhaoying  Liu Sixing  Zhang Yaoqing
Affiliation:Xu Changsheng; Zhou Zhaoying; Liu Sixing; Zhang Yaoqing (Tsinghua University)(China University of Mining and Technology)
Abstract:This paper analyses the applications of expert system and neural network in fault diagnosis. In the view of advantages of each technique,an integrated fault diagnosis system for coal-cutter has been set up based on neural network and expert system. The system structure, the diagnostic strategy and the learning algorithm is presented and simulation results are also given.
Keywords:nerual network  expert system  fault diagnosis  deep knowledge base  
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