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Defect detection of pipes using Lyapunov dimension of Duffing oscillator based on ultrasonic guided waves

机译:基于超声导波的Duffing振荡器Lyapunov尺寸的管道缺陷检测

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摘要

This study proposes a novel small defect detection approach for steel pipes using the Lyapunov dimension (D) of the Duffing chaotic system based on ultrasonic guided waves. In this paper, inspection model is constructed by inputting the measured guided wave signal into the Duffing equation as the external turbulent driving force term and thenDis calculated. The properties of the Duffing system's noise immunity are first demonstrated theoretically based on the Lyapunov exponents. By comparingDof the Duffing inspection system between the conditions of the inputted pure noise and the guided wave signal, the amplitude of the periodic force (F), the important parameter of the Duffing inspection system, could be determined. The values of other parameters of the Duffing inspection system are subsequently determined according to the numerical investigation. Furthermore, a time-moving window function is constructed to scan along the measured signal to locate the defect. And the small defect echo signal polluted by the noise is illustrated to prove the availability of the proposed method. Both numerical and experimental results show that the proposed approach can be used to improve the sensitivity of small defect detection and locate the small defect in pipes.
机译:这项研究提出了一种新颖的钢管小缺陷检测方法,该方法利用了基于超声导波的Duffing混沌系统的Lyapunov维数(D)。本文通过将测得的导波信号作为外部湍流驱动力项输入Duffing方程中,然后建立Dis来建立检验模型。首先基于Lyapunov指数从理论上证明了Duffing系统的抗噪性能。通过在输入的纯噪声和导波信号的条件之间比较Duffing检查系统的D,可以确定Duffing检查系统的重要参数周期性力(F)的幅度。随后根据数值研究确定Duffing检查系统的其他参数的值。此外,构造了时移窗函数以沿着所测量的信号进行扫描以定位缺陷。并举例说明了被噪声污染的小缺陷回波信号,证明了该方法的有效性。数值和实验结果均表明,该方法可用于提高小缺陷检测的灵敏度并定位管道中的小缺陷。

著录项

  • 来源
    《Mechanical systems and signal processing》 |2017年第1期|130-147|共18页
  • 作者单位

    College of Science and Engineering, Jinan University, Guangzhou 510632, China;

    College of Science and Engineering, Jinan University, Guangzhou 510632, China;

    Department of Mechanics, Taiyuan University of Science & Technology, Taiyuan 030024, China;

    College of Science and Engineering, Jinan University, Guangzhou 510632, China;

    College of Science and Engineering, Jinan University, Guangzhou 510632, China;

    College of Science and Engineering, Jinan University, Guangzhou 510632, China ,School of Civil Engineering, Qinghai University, Xining 810016, China;

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

    Defect detection; Lyapunov dimension; Ultrasonic guided wave; Defect localization; Pipes;

    机译:缺陷检测;Lyapunov维度;超声波导波;缺陷定位;管子;

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