...
首页> 外文期刊>Mechanical systems and signal processing >A diagnostic imaging approach for online characterization of multi-impact in aircraft composite structures based on a scanning spatial-wavenumber filter of guided wave
【24h】

A diagnostic imaging approach for online characterization of multi-impact in aircraft composite structures based on a scanning spatial-wavenumber filter of guided wave

机译:基于导波扫描空间波数滤波器的飞机复合结构多撞击在线表征的诊断成像方法

获取原文
获取原文并翻译 | 示例
           

摘要

Monitoring of impact and multi-impact in particular in aircraft composite structures has been an intensive research topic in the field of guided-wave-based structural health monitoring (SHM). Compared with the majority of existing methods such as those using signal features in the time-, frequency- or joint time-frequency domain, the approach based on spatial-wavenumber filter of guided wave shows superb advantage in effectively distinguishing particular wave modes and identifying their propagation direction relative to the sensor array. However, there exist two major issues when conducting online characterization of multi-impact event. Firstly, the spatial-wavenumber filter should be realized in the situation that the wavenumber of high spatial resolution of the complicated multi-impact signal cannot be measured or modeled. Secondly, it's difficult to identify the multiple impacts and realize multi-impact localization due to the overlapping of wavenum-bers. To address these issues, a scanning spatial-wavenumber filter based diagnostic imaging method for online characterization of multi-impact event is proposed to conduct multi-impact imaging and localization in this paper. The principle of the scanning filter for multi-impact is developed first to conduct spatial-wavenumber filtering and to achieve wavenumber-time imaging of the multiple impacts. Then, a feature identification method of multi-impact based on eigenvalue decomposition and wavenumber searching is presented to estimate the number of impacts and calculate the wavenumber of the multi-impact signal, and an image mapping method is proposed as well to convert the wavenumber-time image to an angle-distance image to distinguish and locate the multiple impacts. A series of multi-impact events are applied to a carbon fiber laminate plate to validate the proposed methods. The validation results show that the localization of the multiple impacts are well achieved.
机译:特别是在飞机复合结构中,冲击和多重冲击的监测一直是基于导波的结构健康监测(SHM)领域的研究重点。与大多数现有方法(例如在时域,频域或联合时频域中使用信号特征的方法)相比,基于导波空间波数滤波器的方法在有效地区分特定波模式和识别其波动模式方面显示出卓越的优势。相对于传感器阵列的传播方向。然而,在进行多影响事件的在线表征时,存在两个主要问题。首先,在无法测量或建模复杂的多冲击信号的高空间分辨率的波数的情况下,应实现空间波数滤波器。其次,由于小波的重叠,难以识别多重影响并实现多重影响定位。针对这些问题,本文提出了一种基于扫描空间波数滤波的多事件事件在线表征的诊断成像方法,以进行多事件成像和定位。首先开发了用于多重碰撞的扫描滤波器的原理,以进行空间波数滤波并实现多重碰撞的波数时间成像。然后,提出了一种基于特征值分解和波数搜索的多冲击特征识别方法来估计冲击次数并计算多冲击信号的波数,并提出了一种图像映射方法将波数转换为时间图像到角度距离图像,以区分和定位多重影响。一系列的多次撞击事件被应用于碳纤维层压板以验证所提出的方法。验证结果表明,可以很好地实现多种影响的本地化。

著录项

  • 来源
    《Mechanical systems and signal processing》 |2017年第6期|44-63|共20页
  • 作者单位

    Research Center of Structural Health Monitoring and Prognosis, State Key Lab of Mechanics and Control of Mechanical Structures, Nanjing University of Aeronautics and Astronautics, Nanjing 2100J6, PR China;

    Research Center of Structural Health Monitoring and Prognosis, State Key Lab of Mechanics and Control of Mechanical Structures, Nanjing University of Aeronautics and Astronautics, Nanjing 2100J6, PR China,Department of Mechanical Engineering, Hong Kong Polytechnic University, Kowloon, Hong Kong;

    Research Center of Structural Health Monitoring and Prognosis, State Key Lab of Mechanics and Control of Mechanical Structures, Nanjing University of Aeronautics and Astronautics, Nanjing 2100J6, PR China;

    Department of Mechanical Engineering, Hong Kong Polytechnic University, Kowloon, Hong Kong;

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

    Aircraft composite structure; Structural health monitoring; Impact imaging; Guided wave; Spatial-wavenumber filter;

    机译:飞机复合结构;结构健康监测;冲击成像;导波;空间波数滤波器;

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号