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雷达故障检测专家系统设计
引用本文:李浩,邱超凡.雷达故障检测专家系统设计[J].雷达科学与技术,2011,9(2):99-103.
作者姓名:李浩  邱超凡
作者单位:解放军炮兵学院五系42队,安徽,合肥,230031
摘    要:新体制雷达系统的复杂性增加了雷达故障检测的难度。为保证雷达工作的可靠性和维修性能,首先根据雷达设备故障检测的特点,运用人工智能理论,提出了基于神经网络和专家系统相结合的检测技术,并把这种技术应用到雷达的故障检测中。概述了系统的基本结构,介绍了系统的功能、知识的获取和存储、推理机制、解释机制等,并给出了具体的检测实例,阐述了雷达故障检测专家系统组成和基于神经网络专家系统雷达发射系统故障检测。结果证明,利用神经网络技术建立的故障检测专家系统可提高雷达故障检测的正确性和效率。

关 键 词:专家系统  雷达  故障检测  神经网络  知识库

Design of Radar Failure Detection Expert System
LI Hao,QIU Chao-fan.Design of Radar Failure Detection Expert System[J].Radar Science and Technology,2011,9(2):99-103.
Authors:LI Hao  QIU Chao-fan
Affiliation:(No.5 Department,Artillery Academy of PLA,Hefei 230031,China)
Abstract:The difficulty for radar failure detection is increased due to the complexity of new system radars.For ensuring its performance on reliability and maintenance,according to the feature of failure detection of radar equipment,the detection technology is put forward by using artificial intelligence theory.This technology built on the basis of neural network and expert system is applied to radar failure detection.The basic structure of the system is summarized in the article.Then,the system's function,acquisition and storage of knowledge,reasoning mechanism,explanation mechanism,etc.,are introduced.A detection example is given.The composition of the radar failure detection expert system and the failure detection of the radar transmitting system based on expert system and neural network are expounded by the example.The result shows that the accuracy and efficiency of the radar failure detection can be improved by using the failure detection expert system based on neural network.
Keywords:expert system  radar  failure detection  neural network  knowledge base
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