Skip to main content

Abstract

For the determination of armored vehicle repair time, the traditional method is usually to conduct maintenance experiments on the actual vehicle or full-size model to determine the maintenance time, which will lead to a long cycle and high cost for determining the maintenance time. With the development of virtual maintenance technology, it is possible to make use of virtual maintenance to indirectly determine the maintenance time. This paper cooperates with a factory in Hunan to experiment with the repair of armored track shoes. According to the experimental requirements, the comparative analysis method was used to test the actual time of the track shoe repair and the maintenance time in the virtual environment. And analyze the maintenance time under two kinds of environments, find out the relationship between them, and provide certain help for determining the maintenance time of armored vehicles.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD 169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Z.B. Zou, J.B. Wu, M. Ma, Virtual maintenance training system of airborne electronic equipment. Appl. Mech. Mater. 437(437), 861–865 (2013)

    Article  Google Scholar 

  2. V. Narayanan, S. Krishna, J.K.J. Jaganathan et al. Virtual reality system with haptic/auditory devices for assembly and maintenance training. Grasp (2006)

    Google Scholar 

  3. G.A. Figueroa, Virtual reality training system for maintenance and operation of high-voltage overhead power lines. Virtual Real. 20(1), 27–40 (2016)

    Article  Google Scholar 

  4. MIL-HDBK-470A. Designing and Developing Maintainable Products and Systems (Department of Defence Handbook, 1997)

    Google Scholar 

  5. N.I. Badler, C.A. Erignac, Y. Liu, Virtual humans for validating maintenance procedures. Commun. Acm 45(7), 56–63 (2002)

    Google Scholar 

  6. A. Kaveh, A.F. Behnam, Design optimization of reinforced concrete 3D structures considering frequency constraints via a charged system search. Sci. Iran. 20(3), 387–396 (2013)

    Google Scholar 

  7. R.T. Bye, A receding horizon genetic algorithm for dynamic resource allocation: a case study on optimal positioning of tugs, 114–125 (2012)

    Google Scholar 

  8. R. Vujosevic, J. Ianni, A taxonomy of motion models for simulation and analysis of maintenance tasks (1997)

    Google Scholar 

  9. M.D. Bauer, Z. Siddique, D.W. Rosen, Virtual prototyping in simultaneous product/process design for disassembly, in Rapid Response Manufacturing (Springer, US, 1998), pp. 141–175

    Chapter  Google Scholar 

  10. B.S. Blanchard, W.J. Fabrycky, Systems Engineering and Analysis (Prentice Hall, 2002)

    Google Scholar 

  11. S. Mascaro, H.H. Asada, Hand-in-glove human-machine interface and interactive control: task process modeling using dual Petri nets, in IEEE International Conference on Robotics and Automation, 1998. Proceedings, vol. 2 (IEEE, 1998), pp. 1289–1295

    Google Scholar 

  12. F. Lin, C.J. Su, M.M. Tseng, An agent-based approach to developing intelligent virtual reality-based training systems, in Proceedings of IEEE International Conference on Tools with Artificial Intelligence, 1999 (IEEE, 1999), pp. 253–260

    Google Scholar 

  13. K. Harada, E. Nakamae, Sampling point setting on cubic splines for computer animation. Vis. Comput. 5(1–2), 14–21 (1989)

    Article  Google Scholar 

  14. P.M. Isaacs, M.F. Cohen, Controlling dynamic simulation with kinematic constraints. Acm Siggraph Comput. Graph. 21(4), 215–224 (1987)

    Article  Google Scholar 

  15. W.W. Armstrong, M. Green, R. Lake, Near-Real-Time Control of Human Figure Models (IEEE Computer Society Press, 1987)

    Google Scholar 

Download references

Acknowledgements

The author would like to thank my tutor Qing Xue for her careful guidance and thank the workers for their cooperation and support during the experiment.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Ling-chen Zhou .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Zhou, Lc., Xue, Q., Sun, Jw., Liu, Sl., Xie, Xy., Zhang, Q. (2019). The Maintenance Evaluation Method Based on Virtual Reality. In: Huang, G., Chien, CF., Dou, R. (eds) Proceeding of the 24th International Conference on Industrial Engineering and Engineering Management 2018. Springer, Singapore. https://doi.org/10.1007/978-981-13-3402-3_23

Download citation

Publish with us

Policies and ethics