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基于ANN的超短波跳频电台故障诊断系统的设计
引用本文:赵维康,那丹彤,张子刚.基于ANN的超短波跳频电台故障诊断系统的设计[J].长春工程学院学报(自然科学版),2008,9(2):34-37.
作者姓名:赵维康  那丹彤  张子刚
作者单位:解放军装甲兵技术学院电子工程系,长春,130117;解放军装甲兵技术学院电子工程系,长春,130117;解放军装甲兵技术学院电子工程系,长春,130117
摘    要:人工神经网络是模拟生物神经元的结构而提出的一种信息处理方法。利用经过训练的人工神经网络对故障进行分析从而对短波电台进行故障检测和监控,预测某些部件的疲劳寿命。基于对人工神经网络的研究,建立了对超短波跳频电台故障诊断的一种新的系统设计研究。

关 键 词:人工神经网络  BP算法  超短波跳频电台  MATLAB

Design and research on fault diagnosis based on ANN for the FM radio
ZHAO Wei-kang,et al..Design and research on fault diagnosis based on ANN for the FM radio[J].Journal of Changchun Institute of Technology(Natural Science Edition),2008,9(2):34-37.
Authors:ZHAO Wei-kang  
Institution:ZHAO Wei -kang, et al. ( Department of Electronic and Engineering, Armored Force Technical College, Changchun 130117, China)
Abstract:Artificial neural networks(ANN) are an information-processing method of a simulation of the structure for biological neurons.This paper makes a research on the approach of the artificial neural network for fault diagnosis of short-wave radios and constructs a fault diagnosis system of short-wave radios with ANN.And system can analyze fault phenomena and detect radios fault by training stylebooks,which behaves intelligently.It will greatly improve the response to the radio fault diagnosis and maintenance efficiency.
Keywords:ANN  BP Algorithm  short-wave radio  MATLAB
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