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Investigation of the approximate decomposition of alternating current field measurement signals from crack colonies

机译：从裂缝菌落的交流场测量信号的近似分解研究

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摘要

Cracks, such as those caused by stress corrosion, are often present as colonies. The pick-up signals from the cracks in colonies obtained through the alternating current field measurement technique are composed of the signals from the total cracks. Using a superposed signal directly causes large errors in depth prediction. Therefore, this study investigates the approximate decomposition of alternating current field measurement signals from crack colonies. The effect of the number and the relative position of the cracks on the measured signals is studied. A method based on the signal circle is proposed to decompose the superposed signals of crack colonies. Further, a depth quantification algorithm, which is based on a generalized regression neural network, is developed for crack colonies. The results of the simulation and experiment indicate that the proposed algorithm can preliminarily predict crack depth in a colony, especially for deep cracks, which are dangerous. The predicted results can also be used as initial values for accelerating phenomenological inversion methods.
机译：由压力腐蚀引起的裂缝通常作为菌落存在。来自通过交流场测量技术获得的菌落中的裂缝的拾取信号由来自总裂缝的信号组成。使用叠加信号直接导致深度预测中的大误差。因此，本研究研究了来自裂纹菌落的交流场测量信号的近似分解。研究了数量和裂缝的相对位置对测量信号的影响。提出了一种基于信号圆的方法来分解裂纹菌落的叠加信号。此外，基于广义回归神经网络的深度量化算法用于破裂菌落。模拟和实验的结果表明，所提出的算法可以预先预测殖民地的裂缝深度，特别是对于危险的深裂缝。预测结果也可以用作加速现象学反演方法的初始值。

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  • 来源
    《Mechanical systems and signal processing》 |2021年第11期|107878.1-107878.14|共14页
  • 作者

    Jiuhao Ge; Baowang Hu; Chenkai Yang;

  • 作者单位

    Nondestructive Detection and Monitoring Technology for High Speed Transportation Facilities Key Laboratory of Ministry of Industry and Information Technology Nanjing University of Aeronautics and Astronautics Nanjing 210016 China Department of Quantum Science and Energy Engineering Graduate School of Engineering Tohoku University 6-6-01-2 Aramaki Aza Aoba Aoba-Ku Sendai Miyagi 980-8579 Japan JSPS International Research Fellow Graduate School of Engineering Tohoku University 6-6-01-2 Aramaki Aza Aoba Aoba-Ku Sendai Miyagi 980-8579 Japan;

    Nondestructive Detection and Monitoring Technology for High Speed Transportation Facilities Key Laboratory of Ministry of Industry and Information Technology Nanjing University of Aeronautics and Astronautics Nanjing 210016 China;

    Nondestructive Detection and Monitoring Technology for High Speed Transportation Facilities Key Laboratory of Ministry of Industry and Information Technology Nanjing University of Aeronautics and Astronautics Nanjing 210016 China;

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

    Multiple defect; SCCs; GRNN; Depth quantification;

    机译：多缺陷;SCCS;grnn;深度量化;

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