机车信号降噪措施的研究与应用  

Research and Application of Noise Reduction Measures for Locomotive Signals

作　　者：卫恒丹 Wei Hengdan(Shanxi Institute of Applied Science and Technology,Taiyuan Shanxi 030062,China)

机构地区：[1]山西应用科技学院,山西太原030062

出　　处：《现代工业经济和信息化》2025年第2期110-111,134,共3页Modern Industrial Economy and Informationization

摘　　要：以ZPW-2000A型轨道电路为研究对象,对机车信号的噪声干扰进行分析,提出基于长短时记忆全卷积神经网络(LSTM-FCN)网络时域降噪模型,并进行仿真模拟,验证系统的降噪能力,从硬件和软件层面进行系统设计。将系统应用在某段轨道运输机车方面,对实际的应用效果进行分析。Taking ZPW-2000A rail circuit as the research object,the noise interference of locomotive signals is analysed,a time domain noise reduction model based on Long Short-Term Memory Fully Convolutional Neural Network(LSTM-FCN)network is proposed,simulations are performed to verify the noise reduction capability of the system,and the system is designed from the hardware and software levels.Afterwards,the system is applied to a section of rail transport locomotives,and the actual application effect is analysed.

关 键 词：机车信号 噪声干扰 系统设计 降噪 

分 类 号：U284.48[交通运输工程—交通信息工程及控制] TP18[交通运输工程—道路与铁道工程]