IDEAS home Printed from https://ideas.repec.org/h/spr/ssrchp/978-3-031-53514-7_10.html
   My bibliography  Save this book chapter

Augmented Reality (AR) and Virtual Reality (VR) in Maintenance Training

In: Advances in Computational Mathematics for Industrial System Reliability and Maintainability

Author

Listed:
  • Mohammad Yazdi

    (Macquarie University)

Abstract

The introduction of Augmented Reality (AR) and Virtual Reality (VR) technologies has ushered in a paradigm shift in industrial maintenance training methodologies. This paper explores the transformative potential of AR and VR in creating immersive training environments, enhancing the efficiency and efficacy of hands-on training modules. By leveraging the capabilities of these technologies, industries can provide real-time, interactive simulations that offer trainees a profound understanding of complex processes, machinery operations, and safety protocols. Furthermore, integrating AR and VR with traditional training modalities ensures a holistic learning experience, bridging the gap between theoretical knowledge and practical skills. The future trajectory of AR and VR in industrial training points towards a more collaborative, adaptive, and global training landscape, emphasizing the continuous evolution of learning methodologies in the industrial sector. This paper underscores embracing these technologies to foster a safer, more competent, and well-equipped workforce.

Suggested Citation

  • Mohammad Yazdi, 2024. "Augmented Reality (AR) and Virtual Reality (VR) in Maintenance Training," Springer Series in Reliability Engineering, in: Advances in Computational Mathematics for Industrial System Reliability and Maintainability, chapter 0, pages 169-183, Springer.
    • Handle: RePEc:spr:ssrchp:978-3-031-53514-7_10
    DOI: 10.1007/978-3-031-53514-7_10
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    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:spr:ssrchp:978-3-031-53514-7_10. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.