航空通信电声故障诊断技术研究

中图分类号：TN92；V243 文献标志码：B 文章编码：1672-7274（2025）05-0004-03

Abstract： With the rapid development of the aviation industry，aviation communication systems are becoming increasiglycomplex，andcorrspondingly，thedifcultyofdiagnosingelectricalandacousticfaultsisalsoincrasing dayby day.Traditional fault diagnosis methods are no longer able to metcurrent needs inthis context，andresearch on new fault diagnosis technologies is urgently needed.The articleconducts in-depth research on the diagnosis technology of electroacoustic faults in aviation communication systems，focusing on the diagnostic methods and technicalprinciplesof electroacousticfaults inaviationcommunicationsystems，aswellastheeffectivenessof these methodsandprinciplesinpracticalapplications.Andtroughdetailedanalysisoftheprocesofeectroacousticfaultdiagosis， featureextractionteligetgnosticgorihs，aswellsfultsulatinderiationinultiplepetstch results showthatthe modelexhibitsexcellentperformance inbothsimulatedandactualtesting environments，andcanlayasolid technical foundation for the maintenance and support of aviation communication systems.

Keywords： aviation communication; acoustic malfunction; fault diagnosis; deep learning

在航空技术飞速发展的当下，航空通信系统中的电声故障始终是影响系统可靠性与性能的关键因素。（剩余4208字）