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Sparse representation for Lamb-wave-based damage detection using a dictionary algorithm

机译:使用字典算法的羔羊波损伤检测稀疏表示

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摘要

Lamb waves are being investigated extensively for structural health monitoring (SHM) because of their characteristics of traveling long distances with little attenuation and sensitivity to minor local damage in structures. However, Lamb waves are dispersive, which results in the complex overlap of waveforms in the damage detection applications of the SHM community. This paper proposes a sparse representation strategy based on an l(1)- norm optimization algorithm for guided-Lamb-wave-based inspections. A comprehensive dictionary is designed containing various waveforms under diverse conditions so that the received waveform can be decomposed into a spatial domain for the identification of damage location. Furthermore, the l(1)-norm optimization algorithm is employed to pursue the sparse solution related to the physical damage location. The functionality of the created dictionary is validated by both metal beam and composite wind turbine experiments. The results indicate a great potential for the proposed sparse representation using a dictionary algorithm, which provides an effective alternative approach for damage detection. (C) 2018 Elsevier B.V. All rights reserved.
机译:由于它们的长距离传播和对结构中的轻微局部损坏的敏感性,因此正在广泛地研究了羊羔波进行了结构健康监测(SHM)。然而,羊光波是分散的,这导致SHM社区损伤检测应用中波形的复杂重叠。本文提出了一种基于L(1) - 规范优化算法的稀疏表示策略,用于基于引导羔羊波的检查。在各种条件下,设计了一个综合字典,使得所接收的波形可以分解成空间域以识别损坏位置。此外,使用L(1)-norm优化算法来追求与物理损坏位置相关的稀疏解决方案。金属梁和复合风力涡轮机实验验证了所创建的字典的功能。结果表明使用字典算法所提出的稀疏表示的巨大潜力,该算法提供了有效的替代方法来损坏检测。 (c)2018 Elsevier B.v.保留所有权利。

著录项

  • 来源
    《Ultrasonics》 |2018年第2018期|共11页
  • 作者单位

    Univ Michigan Dept Civil &

    Environm Engn Ann Arbor MI 48109 USA;

    Harbin Inst Technol Minist Ind &

    Informat Technol Key Lab Smart Prevent &

    Mitigat Civil Engn Disast Harbin 150090 Heilongjiang Peoples R China;

    Harbin Inst Technol Minist Ind &

    Informat Technol Key Lab Smart Prevent &

    Mitigat Civil Engn Disast Harbin 150090 Heilongjiang Peoples R China;

    Harbin Inst Technol Minist Ind &

    Informat Technol Key Lab Smart Prevent &

    Mitigat Civil Engn Disast Harbin 150090 Heilongjiang Peoples R China;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 超声学;
  • 关键词

    Guided waves; Sparse representation; Non-destructive testing; Plate-like structures; Structural health monitoring;

    机译:导波;稀疏表示;无损检测;板状结构;结构健康监测;

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