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作 者:满芳芳 李安麒 布和[1] MAN Fangfang;LI Anqi;BU He(People's Liberation Army of China 96922 Unit,Dalian 116000,China)
机构地区:[1]中国人民解放军96922部队,辽宁大连116000
出 处:《通信电源技术》2020年第18期33-35,共3页Telecom Power Technology
摘 要:在传统的电源线路故障诊断中,根据电路的故障参数来建立模型实现故障诊断。但是通常模型诊断方法存在局限性,当电源故障不明显时,无法准确诊断。因此,提出了电子通信指挥系统的电源线路故障诊断方法。分析线路中的电弧特性,并确定线路短路情况和类型,同时使用小波变换对电源线路中的特性进行提取,方便后续诊断数值的接入。在对数值进行判断中,选择神经网络,给出神经网络设置参数以及神经网络的训练过程,利用粒子群算法对网络进行优化,并进行故障诊断。为了验证设计方法的可行性,通过传统方法和设计方法对电子通信指挥系统中的DC-DC电源线路进行诊断。实验结果显示,设计方法诊断准确率更高,具有可行性。In the traditional power line fault diagnosis,a model is built according to the fault parameters of the circuit to achieve fault diagnosis,but usually the model diagnosis method has limitations.When the power failure is not obvious,it cannot be accurately diagnosed.Therefore,the power line fault diagnosis method of the electronic communication command system is proposed.Analyze the arc characteristics in the line,and determine the line shortcircuit condition and type;at the same time,use wavelet transform to extract the characteristics of the power line to facilitate the access of subsequent diagnostic values;in the judgment of the value,select the neural network and give it Neural network setting parameters and neural network training process,using particle swarm algorithm to optimize the network,and perform fault diagnosis.In order to verify the feasibility of the design method,the traditional method and design method are used to diagnose the DC-DC power line in the electronic communication command system.The experimental results show that the design method is more accurate and feasible.
分 类 号:TP3[自动化与计算机技术—计算机科学与技术]
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