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作 者:姜婷婷 JIANG Tingting(Dalian International Airport Co.,Ltd.,Dalian 116000,China)
机构地区:[1]大连国际机场股份有限公司,辽宁大连116000
出 处:《电声技术》2025年第2期7-9,共3页Audio Engineering
摘 要:针对飞机电气液压系统运行中故障定位困难的问题,提出一种基于声音识别技术的飞机电气液压系统实时故障定位(Sound Recognition-based Real-time Fault Location for Aircraft Electrical-Hydraulic System,SRR-FLAEHS)方法。该方法通过音频信号预处理、特征提取与融合、深度学习模型训练,实现故障的精准检测与定位。实验结果表明,SRR-FLAEHS方法的故障定位准确率达到98.12%,F_(1)值达到98.13%,显著优于传统模型,验证了其有效性和健壮性。Aiming at the difficulty of fault location in the operation of aircraft electrical-hydraulic system,Sound Recognition-based Real-time Fault Location for Aircraft Electrical-Hydraulic Systems(SRR-FLAEHS) method is proposed.This method realizes accurate fault detection and location through audio signal preprocessing,feature extraction and fusion,and deep learning model training.Experimental results show that the fault location accuracy of SRR-FLAEHS method is 98.12%,and the F1 value is 98.13%,which is significantly better than the traditional model,verifying the effectiveness and robustness of the proposed method.
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