Volume 23 Issue 3
Jun.  2023
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WU Jun, LI Hong-lu, ZHANG Yu-xin, ZHANG Yun-zhou, TANG Jun-yuan. Screening method of suspected irregularity for medium- and low-speed maglev tracks based on Box-Whisker plot[J]. Journal of Traffic and Transportation Engineering, 2023, 23(3): 68-76. doi: 10.19818/j.cnki.1671-1637.2023.03.004
Citation: WU Jun, LI Hong-lu, ZHANG Yu-xin, ZHANG Yun-zhou, TANG Jun-yuan. Screening method of suspected irregularity for medium- and low-speed maglev tracks based on Box-Whisker plot[J]. Journal of Traffic and Transportation Engineering, 2023, 23(3): 68-76. doi: 10.19818/j.cnki.1671-1637.2023.03.004
shu

Screening method of suspected irregularity for medium- and low-speed maglev tracks based on Box-Whisker plot

doi: 10.19818/j.cnki.1671-1637.2023.03.004

  • College of Intelligence Science and Technology, National University of Defense Technology,Changsha 410073, Hunan, China

Funds:

National Key Research and Development Program of China 2016YBF1200602-40

More Information
  • Author Bio:

    WU Jun(1973-), male, professor, PhD,lwujun2008@nudt.edu.cn

  • Received Date: 2022-12-01
    Available Online: 2023-07-07
  • Publish Date: 2023-06-25
    Abstract
  • In order to reduce the workload of medium- and low-speed maglev track detection and the time occupied by track detection equipment and improve the efficiency of track irregularity detection, a method for screening suspected track irregularities by collecting the relevant data of suspension system through the driving recorder was proposed. According to the basic idea that the abnormal irregularity of the track line would cause obvious mutation anomalies to the suspension gap, vertical acceleration of the suspension electromagnet, and electromagnet current, based on the Box-Whitker plot, the screening threshold was set up, and the abnormal screening of the ternary threshold was carried out by using the data of suspension gap, vertical acceleration of the suspension electromagnet, and electromagnet current, and the data that might be missed were screened again based on the monadic and binary thresholds. The above results were used to determine the abnormal level of the track section, and the abnormal sections that had been screened many times were judged as sections with suspected irregularity. To further improve the accuracy of the screening results of abnormal sections with irregularity, according to the data of different suspension control points of the same carriage passing through the same abnormal section with irregularity, the idea of abnormal repeatability should be reflected, and the data of multiple suspension control points recorded by the driving recorder were be fused in terms of the screening results, so as to comprehensively judge the suspected irregularity of the section. On this basis, the proposed method was applied to analyze the data of 10 suspension control systems on the left side of M carriage on Changsha Maglev Line. Research results show that the proposed method can screen out suspected abnormal sections so that the existing whole-section irregularity detection method can be transformed into a method using track inspection equipment to detect suspected abnormal sections in a targeted manner. The maintenance time of line detection can reduce by about 20%.

     

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