基于ANN的超短波跳频电台故障诊断系统的设计

Design and research on fault diagnosis based on ANN for the FM radio

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。

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.