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Monitoring and Early Warning Technology for Internal Cracks of Railhead Based on Lamb Wave

  • Kexin Liang
  • Ye ZhangEmail author
  • Guoqiang Cai
Conference paper
  • 34 Downloads
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1060)

Abstract

In order to solve the difficulties of rail detection (such as low timeliness, poor reliability, and high dependence on manual inspection), this paper proposes a monitoring and early warning technology for internal cracks of railhead. Through the finite element simulations of Lamb wave and practical experiments of rail cutting, the data for driving algorithms can be obtained. On the basis of using Shannon Wavelet Transform (SWT) to extract the first arrival wave and Hilbert-Huang Transform (HHT) to analyze its time-frequency properties, this paper presents an innovative triple-threshold judgment method. It sets up three lines of defence to decline the impact of environmental factors. Empirical results show that this technology can effectively monitor and warn the internal cracks of railhead under a low false alarm rate. The sensitivity is 2 mm, which meets the needs of practical engineering and makes up for the gap in rail structure health monitoring.

Keywords

Lamb wave SWT HHT Triple-threshold judgment SHM 

Notes

Acknowledgements

The paper is partial support by National Key R&D Program of China (2018YFB1201601) and Beijing Municipal Commission of Education Social Science Foundation (SM201810005002).

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Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  1. 1.State Key Lab of Rail Traffic Control & SafetyBeijing Jiaotong UniversityBeijingChina
  2. 2.Beijing Key Lab of Traffic EngineeringBeijing University of TechnologyBeijingChina

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