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Identification of wall-thinning and cracks in pipes utilizing vibration modes and wavelets

机译:利用振动模式和小波识别管道壁薄和裂缝

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摘要

Internal surface damage such as wall-thinning and cracks in piping systems are mainly caused by chemical reactions, heat, erosion, solid carrying fluids or a combination of such influences. Early detection of such surface damage is crucial in order to avoid sudden failure and the subsequent downtime losses and safety hazards. In this paper we develop methods for inner damage identification in pipes utilizing the vibration mode shapes. Wall-thinning and cracks are modeled by smooth gradual change and abrupt change in the internal surface of the pipe, respectively. Since wavelets are very efficient in detecting fast changes in signals and their derivatives, they are primarily used to detect crack development. While wavelets cannot be used to detect smooth wall-thinning changes, they can, nevertheless, be used to detect the beginning and end of such damage. We develop a new method for identifying the profile of the inner surface of the pipe, once the wavelet transform indicates that damage is taking place. The identification process requires the shape of one vibration mode of the pipe and does not require the elaborate monitoring and tracking of changes in the modal characteristics. No baseline data are needed aside from the nominal values of the pipe parameters. In addition to damage localization, the developed identification method is capable of quantizing damage severity from the identification of a more accurate profile of the inner surface of the pipe. The motivation and methods used in this work are introduced first in a general setting and then demonstrated by several pipe examples. The numerical simulations carried out here indicate the effectiveness of the developed approach.
机译:内部表面损坏(例如壁变薄和管道系统中的裂缝)主要是由化学反应,热,腐蚀,固体携带流体或这些因素共同造成的。为了避免突然的故障以及随后的停机时间损失和安全隐患,及早发现这种表面损伤至关重要。在本文中,我们开发了利用振动模式形状识别管道内部损伤的方法。分别通过管道内表面的平滑渐变和突变来模拟薄壁和裂缝。由于小波在检测信号及其导数的快速变化方面非常有效,因此主要用于检测裂纹的发展。虽然小波不能用于检测平滑的壁变薄变化,但是仍然可以将其用于检测这种破坏的开始和结束。一旦小波变换表明发生了损坏,我们将开发一种新的方法来识别管道内表面的轮廓。识别过程需要管道的一种振动模式的形状,并且不需要对模式特性的变化进行详尽的监视和跟踪。除了管道参数的标称值外,不需要基线数据。除了损伤定位之外,开发的识别方法还可以通过识别更精确的管道内表面轮廓来量化损伤的严重程度。首先在一般情况下介绍此工作中使用的动机和方法,然后通过几个管道示例进行演示。此处进行的数值模拟表明了所开发方法的有效性。

著录项

  • 来源
    《Applied Mathematical Modelling》 |2016年第10期|5335-5348|共14页
  • 作者

    M. El-Gebeily; Y.A. Khulief;

  • 作者单位

    Mathematics & Statistics Department, King Fahd University of Petroleum & Minerals, Dhahran 31261, Saudi Arabia;

    Department of Mechanical Engineering, King Fahd University of Petroleum & Minerals, Dhahran 31261, Saudi Arabia;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Pipes; Surface damage; Vibrations; Identification; Wavelets;

    机译:管道;表面损坏;振动;鉴定;小波;

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