IDEAS home Printed from https://ideas.repec.org/a/eee/reensy/v253y2025ics0951832024006331.html
   My bibliography  Save this article

Resilience evaluation of multi-feature system based on hidden Markov model

Author

Listed:
  • Liu, Jiaying
  • Zhang, Jun
  • Tian, Qingfeng
  • Wu, Bei

Abstract

Modern systems have become increasingly vulnerable to threats due to their growing complexity nowadays. Multi-feature systems, prevalent in the realm of complex structures, manifest their performance through a diverse array of features. In response to threats, this paper develops a resilience evaluation model for multi-feature systems based on hidden Markov models, which can describe the dynamic relationship between performance levels and external features. Quantitative resilience indicators are presented across three distinct dimensions: resistant, absorption, and recovery, whose analytical formulas are derived by generating functions and properties are proved. Meanwhile, simulation algorithms are proposed to verify the correctness of the analytic formulas. Finally, taking the system under the threat of flood disasters as an example, the resilience model proposed in this paper is applied to evaluate its resilience, and the robustness of the resilience evaluation indicators is verified.

Suggested Citation

  • Liu, Jiaying & Zhang, Jun & Tian, Qingfeng & Wu, Bei, 2025. "Resilience evaluation of multi-feature system based on hidden Markov model," Reliability Engineering and System Safety, Elsevier, vol. 253(C).
    • Handle: RePEc:eee:reensy:v:253:y:2025:i:c:s0951832024006331
    DOI: 10.1016/j.ress.2024.110561
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0951832024006331
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.ress.2024.110561?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    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:eee:reensy:v:253:y:2025:i:c:s0951832024006331. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/reliability-engineering-and-system-safety .

    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.