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A new synthesis aperture-MUSIC algorithm for damage diagnosis on complex aircraft structures

机译:一种新的综合孔径-MUSIC算法,用于复杂飞机结构的损伤诊断

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摘要

Multiple signal classification (MUSIC) algorithm has gradually been applied to guided wave based structural health monitoring (SHM) as a novel promising method, which is able to realize directional scanning and has the potential to monitor multiple signal sources. However, on complex structures, the low signal-to-noise ratio (SNR) of damage scattered signals and structural anisotropy usually result in the poor localization performance of MUSIC algorithm based damage diagnosis method. To solve these problems for applying the MUSIC algorithm on complex structures, this paper presents a new synthesis aperture-MUSIC algorithm for damage diagnosis with array error compensation. This method enhanced the damage scattered signals and compensate the phase delay perturbations caused by structural anisotropy, which realized damage localization on complex structures. The proposed method is verified on an aircraft structure with T-stiffeners, ribs and rivets to detect corrosion damages with five severity levels. Application results show the advantage and effectiveness of the presented method.
机译:多信号分类(MUSIC)算法已逐渐被应用到基于导波的结构健康监测(SHM)中,这是一种有希望的新方法,它能够实现定向扫描并具有监测多个信号源的潜力。然而,在复杂结构上,损伤分散信号的信噪比(SNR)低以及结构各向异性通常导致基于MUSIC算法的损伤诊断方法的定位性能较差。为了解决将MUSIC算法应用于复杂结构的这些问题,本文提出了一种新的综合孔径MUSIC算法,用于带阵列误差补偿的损伤诊断。该方法增强了损伤散射信号,补偿了结构各向异性引起的相位延迟扰动,实现了损伤在复杂结构上的定位。该方法在具有T型加劲肋,肋骨和铆钉的飞机结构上得到了验证,可以检测五个严重级别的腐蚀破坏。应用结果表明了该方法的优越性和有效性。

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