IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v16y2025i1d10.1038_s41467-025-59507-6.html
   My bibliography  Save this article

Laser interferometry for high-speed railway health inspection using telecom fiber along the line

Author

Listed:
  • Guan Wang

    (Tsinghua University
    Tsinghua University
    Ministry of Education)

  • Dongqi Song

    (Tsinghua University
    Tsinghua University
    Ministry of Education)

  • Zhongwang Pang

    (Tsinghua University
    Tsinghua University
    Ministry of Education)

  • Fangmin Wang

    (Tsinghua University
    Tsinghua University
    Ministry of Education)

  • Hongfei Dai

    (Tsinghua University
    Tsinghua University
    Ministry of Education)

  • Wenlin Li

    (Tsinghua University
    Tsinghua University
    Ministry of Education)

  • Bo Wang

    (Tsinghua University
    Tsinghua University
    Ministry of Education)

Abstract

The health inspection of widespread high-speed railway network is crucial to maintain the regular transportation, particularly as the velocity of high-speed trains continues to escalate. To narrow the long inspection period of current track recording vehicle method, we have implemented a laser interferometer sensing system to turn those existing fiber cables within high-speed railway cable ducts into effective sensing elements. Based on the distributed vibration sensing of daily passing trains, an average power spectrum density indicator is used to assess the health of high-speed railway infrastructures. During the observation over one year, average power spectrum densities of 4 typical infrastructures remain stable, indicating their robust health despite challenging environmental conditions. To demonstrate the sensitivity of average power spectrum density indicator on railway faults, we analyze the sensing results of a rail section before and after track maintenance, which shows distinctive average power spectrum density features corresponding to different levels of creep deformation. Additionally, the sensing system can also report other ambient vibrations, such as seismic waves after propagation of over 300 km. It demonstrates the fiber sensing system not only has the ability to act as a real-time supplementary tool for high-speed railway health inspection, but also has potential to establish a large sensing network.

Suggested Citation

  • Guan Wang & Dongqi Song & Zhongwang Pang & Fangmin Wang & Hongfei Dai & Wenlin Li & Bo Wang, 2025. "Laser interferometry for high-speed railway health inspection using telecom fiber along the line," Nature Communications, Nature, vol. 16(1), pages 1-12, December.
  • Handle: RePEc:nat:natcom:v:16:y:2025:i:1:d:10.1038_s41467-025-59507-6
    DOI: 10.1038/s41467-025-59507-6
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41467-025-59507-6
    File Function: Abstract
    Download Restriction: no

    File URL: https://libkey.io/10.1038/s41467-025-59507-6?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. G. Kouroussis & D.P. Connolly & O. Verlinden, 2014. "Railway-induced ground vibrations - a review of vehicle effects," International Journal of Rail Transportation, Taylor & Francis Journals, vol. 2(2), pages 69-110, June.
    2. Philippe Jousset & Thomas Reinsch & Trond Ryberg & Hanna Blanck & Andy Clarke & Rufat Aghayev & Gylfi P. Hersir & Jan Henninges & Michael Weber & Charlotte M. Krawczyk, 2018. "Dynamic strain determination using fibre-optic cables allows imaging of seismological and structural features," Nature Communications, Nature, vol. 9(1), pages 1-11, December.
    3. Jiaxuan Li & Taeho Kim & Nadia Lapusta & Ettore Biondi & Zhongwen Zhan, 2023. "The break of earthquake asperities imaged by distributed acoustic sensing," Nature, Nature, vol. 620(7975), pages 800-806, August.
    4. F. Walter & D. Gräff & F. Lindner & P. Paitz & M. Köpfli & M. Chmiel & A. Fichtner, 2020. "Distributed acoustic sensing of microseismic sources and wave propagation in glaciated terrain," Nature Communications, Nature, vol. 11(1), pages 1-10, December.
    5. Ethan F. Williams & María R. Fernández-Ruiz & Regina Magalhaes & Roel Vanthillo & Zhongwen Zhan & Miguel González-Herráez & Hugo F. Martins, 2019. "Distributed sensing of microseisms and teleseisms with submarine dark fibers," Nature Communications, Nature, vol. 10(1), pages 1-11, December.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Weiqiang Zhu & Ettore Biondi & Jiaxuan Li & Jiuxun Yin & Zachary E. Ross & Zhongwen Zhan, 2023. "Seismic arrival-time picking on distributed acoustic sensing data using semi-supervised learning," Nature Communications, Nature, vol. 14(1), pages 1-11, December.
    2. Lutz Auersch, 2015. "Realistic axle-load spectra from ground vibrations measured near railway lines," International Journal of Rail Transportation, Taylor & Francis Journals, vol. 3(4), pages 180-200, November.
    3. Jingxiao Liu & Haipeng Li & Hae Young Noh & Paolo Santi & Biondo Biondi & Carlo Ratti, 2025. "Urban sensing using existing fiber-optic networks," Nature Communications, Nature, vol. 16(1), pages 1-10, December.
    4. Philippe Jousset & Gilda Currenti & Benjamin Schwarz & Athena Chalari & Frederik Tilmann & Thomas Reinsch & Luciano Zuccarello & Eugenio Privitera & Charlotte M. Krawczyk, 2022. "Fibre optic distributed acoustic sensing of volcanic events," Nature Communications, Nature, vol. 13(1), pages 1-16, December.
    5. Graham Parry & Steve Summers & David Yates, 2015. "Validating pipe-in-pipe vibration software model to accurately determine ground-borne noise and vibration above construction tunnels," International Journal of Rail Transportation, Taylor & Francis Journals, vol. 3(4), pages 249-260, November.
    6. Bryan Olivier & David P. Connolly & Pedro Alves Costa & Georges Kouroussis, 2016. "The effect of embankment on high speed rail ground vibrations," International Journal of Rail Transportation, Taylor & Francis Journals, vol. 4(4), pages 229-246, October.
    7. Jianmin Lin & Sunke Fang & Runjing He & Qunshu Tang & Fengzhong Qu & Baoshan Wang & Wen Xu, 2024. "Monitoring ocean currents during the passage of Typhoon Muifa using optical-fiber distributed acoustic sensing," Nature Communications, Nature, vol. 15(1), pages 1-10, December.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nat:natcom:v:16:y:2025:i:1:d:10.1038_s41467-025-59507-6. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.