IDEAS home Printed from https://ideas.repec.org/a/igg/jismd0/v13y2022i2p1-12.html
   My bibliography  Save this article

Intelligent Fault Diagnosis for Bridge via Modal Analysis

Author

Listed:
  • Wenjun Zhuang

    (Yunnan Communications Vocational and Technical College, China)

Abstract

Due to natural disasters and man-made reasons, bridges are prone to structural damage during long-term usage, which reduces the associated carrying capacity, increases natural aging, and reduces safety. It is urgent to monitor the health status of bridge structure via intelligent technology. This paper proposes a bridge fault recognition structure. First, the signals of bridge parameter are collected by using distributed sensors. Then, the collected signals are processed by signal processing to extract the features in time and frequency domain. Lastly, the extracted features are used to learn an intelligent classifier. The large margin distribution machine is adopted as a classification model. The experimental results have proven the feasibility of the proposed bridge fault recognition structure.

Suggested Citation

  • Wenjun Zhuang, 2022. "Intelligent Fault Diagnosis for Bridge via Modal Analysis," International Journal of Information System Modeling and Design (IJISMD), IGI Global, vol. 13(2), pages 1-12, April.
  • Handle: RePEc:igg:jismd0:v:13:y:2022:i:2:p:1-12
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJISMD.313582
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Chunfeng Wan & Zhenwei Zhou & Siyuan Li & Youliang Ding & Zhao Xu & Zegang Yang & Yefei Xia & Fangzhou Yin, 2019. "Development of a Bridge Management System Based on the Building Information Modeling Technology," Sustainability, MDPI, vol. 11(17), pages 1-17, August.
    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. Ahmad Jrade & Farnaz Jalaei & Jieying Jane Zhang & Saeed Jalilzadeh Eirdmousa & Farzad Jalaei, 2023. "Potential Integration of Bridge Information Modeling and Life Cycle Assessment/Life Cycle Costing Tools for Infrastructure Projects within Construction 4.0: A Review," Sustainability, MDPI, vol. 15(20), pages 1-25, October.
    2. Angelo Ciccone & Pompilio Suglia & Domenico Asprone & Antonio Salzano & Maurizio Nicolella, 2022. "Defining a Digital Strategy in a BIM Environment to Manage Existing Reinforced Concrete Bridges in the Context of Italian Regulation," Sustainability, MDPI, vol. 14(18), pages 1-26, September.
    3. Daeseok Han, 2021. "Heterogeneous Deterioration Process and Risk of Deficiencies of Aging Bridges for Transportation Asset Management," Sustainability, MDPI, vol. 13(13), pages 1-16, June.
    4. Namju Byun & Whi Seok Han & Young Woong Kwon & Young Jong Kang, 2021. "Development of BIM-Based Bridge Maintenance System Considering Maintenance Data Schema and Information System," Sustainability, MDPI, vol. 13(9), pages 1-29, April.

    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:igg:jismd0:v:13:y:2022:i:2:p:1-12. 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: Journal Editor (email available below). General contact details of provider: https://www.igi-global.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.