航空通信電聲故障診斷技術(shù)研究
中圖分類號：TN92；V243 文獻標志碼：B 文章編碼：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
在航空技術(shù)飛速發(fā)展的當下，航空通信系統(tǒng)中的電聲故障始終是影響系統(tǒng)可靠性與性能的關(guān)鍵因素。（剩余4208字）