IDEAS home Printed from https://ideas.repec.org/a/eee/reensy/v260y2025ics0951832025001279.html
   My bibliography  Save this article

Health evaluation techniques towards rotating machinery: A systematic literature review and implementation guideline

Author

Listed:
  • Jiang, Weixiong
  • Wu, Jun
  • Yang, Yifan
  • Li, Xinyu
  • Zhu, Haiping

Abstract

Rotating machinery plays a significant role in fields of manufacturing, energy, aerospace, and so on. Due to harsh environment and heavy load, the rotating machinery are prone to damage during operation process. Thus, health evaluation is critical for the rotating machinery to improve production efficiency, minimize facility downtime, and ensure working safety. At present, the operation and maintenance of the rotating machinery mainly depend on human resources, expert experience, and intelligent algorithm. To our knowledge, few review articles provide a hierarchical guideline about how to select appropriate health evaluation techniques (HETs) for users according to the usage requirement and data availability. To address this issue, this paper systematically reviews the development and application of the HETs adopted in rotating machinery, which are divided into three types: model-based, knowledge-based, and data-driven HETs. Then, the strong and weak points of different HETs are analyzed so as to provide the implementation guideline for selecting the appropriate HETs. Further, current challenges and perspectives are discussed to spark future research of intelligent HETs.

Suggested Citation

  • Jiang, Weixiong & Wu, Jun & Yang, Yifan & Li, Xinyu & Zhu, Haiping, 2025. "Health evaluation techniques towards rotating machinery: A systematic literature review and implementation guideline," Reliability Engineering and System Safety, Elsevier, vol. 260(C).
    • Handle: RePEc:eee:reensy:v:260:y:2025:i:c:s0951832025001279
    DOI: 10.1016/j.ress.2025.110924
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0951832025001279
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.ress.2025.110924?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:260:y:2025:i:c:s0951832025001279. 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.