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作 者:方惠娟 郝玉良[1] 颜文煅 FANG Huijuan;HAO Yuliang;YAN Wenduan(Minnan University of Science and Technology,Quanzhou 362700,China)
机构地区:[1]闽南理工学院,福建泉州362700
出 处:《电声技术》2025年第2期55-57,共3页Audio Engineering
基 金:福建省技术创新重点攻关及产业化项目(2024XQ027)。
摘 要:为解决广播设备故障诊断中效率低、准确性差的问题,提出一种基于声学图像化技术的诊断方法。通过波束成形技术进行声源定位与故障粗筛,结合声纹识别技术提取故障特征并识别故障类型,最后利用声学全息技术实现故障精确定位与可视化。实验验证表明,该方法在定位精度、故障识别率、适应性方面具有显著优势,为广播设备的智能化维护提供了高效可靠的技术支持。In order to solve the problems of low efficiency and poor accuracy in fault diagnosis of broadcasting equipment,a diagnosis method based on acoustic imaging technology is proposed.Sound source location and fault rough screening are carried out by beamforming technology,fault features are extracted and fault types are identified by combining voiceprint recognition technology,and finally accurate fault location and visualization are realized by using acoustic holography technology.The experimental results show that this method has obvious advantages in positioning accuracy,fault recognition rate and adaptability,and provides efficient and reliable technical support for intelligent maintenance of broadcasting equipment.
分 类 号:TP393[自动化与计算机技术—计算机应用技术]
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