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作 者:马瑞 MA Rui(Luoyang Railway Information Engineering School,Luoyang 471000 China)
出 处:《科技创新与生产力》2022年第12期116-118,共3页Sci-tech Innovation and Productivity
摘 要:为提高铁道信号基础设备监测精度,开展了对其监测方法的设计研究。通过采集铁道电路信号,提取铁道信号基础设备故障参数,基于神经网络的设备在线监测与故障识别,提出一种新的铁道信号基础设备在线监测方法。通过实证分析得出,新监测方法的监测精度得到极大提高。In order to improve the monitoring accuracy of railway signal basic equipment,the monitoring method design and research are carried out.By collecting railway circuit signals,extracting fault parameters of railway signal basic equipment,and implementing online monitoring and fault identification of equipment based on neural network,this paper proposes a new online monitoring method for railway signal basic equipment.Empirical analysis shows that the monitoring accuracy of the new monitoring method has been greatly improved.
分 类 号:U284.91[交通运输工程—交通信息工程及控制]
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