Skip to main content

Intelligent Diagnostics Applied Technology of Specialized Vehicle Based on Knowledge Reasoning

  • Conference paper
Proceedings of the 4th International Conference on Computer Engineering and Networks

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 355))

  • 1182 Accesses

Abstract

According to the rules on knowledge base, maintenance personnel can use a variety of diagnostics information when one failure occurs in complex system, in order to determine the failure mode of the system by reasoning and implement the fault location and troubleshooting quickly and accurately. Firstly, the framework of intelligent diagnostics based on knowledge reasoning is built, then creation, structure, and updating of knowledge base are analyzed, and then the diagnostics model and reasoning mechanisms are analyzed, and the diagnostics reasoning process is given. Finally, the demonstration of intelligent diagnostics is carried out by one typical failure case in specialized vehicle.

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 259.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 329.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 329.99
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. Xiao B. Study on intelligent fault diagnosis expert system of automobile engine. Technol Dev Enterprise. 2013;32(6):6–7. In Chinese.

    Google Scholar 

  2. Tianhong L, et al. An expert system for diagnosing hydraulic fault of automobile crane using fault tree. Mech Sci Technol Aerospace Eng. 2013;32(4):538–44. In Chinese.

    Google Scholar 

  3. Yun S. Application of fuzzy fault tree in automobile engine failure diagnosis. J Guilin Univ Electr Technol. 2008;28(3):222–4. In Chinese.

    Google Scholar 

  4. Meihui L, et al. Research of knowledge acquisition. Comput Knowl Technol. 2008;3(9):2056–7. In Chinese.

    Google Scholar 

  5. Jun Y, et al. Intelligent fault diagnosis technology for equipments. Beijing: National Defense Industry Press; 2004. p. 27–8. In Chinese.

    Google Scholar 

  6. Jiazhan Z. Security in the process of certain type of missile fault diagnosis expert system for shallow layer. Aerospace Control. 2012;30(6):78–82. In Chinese.

    Google Scholar 

  7. Zhi’an Z. Note-knowledge-representation method of definite-fault-diagnosis knowledge. J Chang’an Univ (Natural Science Edition). 2003;23(1):80–3. In Chinese.

    Google Scholar 

  8. Rusheng Z, et al. Fault diagnosis expert system for hydraulic system of missile launcher. Acta Aeronautica ET Astronautica Sinica. 2008;29(1):197–203. In Chinese.

    Google Scholar 

  9. Dawei L, et al. Design for integrated diagnosis inference engine for PHM of aircraft electromechanical system. J Nanjing Univ Aeronaut Astronaut. 2011;43(S):114–8. In Chinese.

    Google Scholar 

  10. Hongfeng J. Develop on inference engine of the EFI engine fault diagnosis expert system[J]. Highways Automotive Appl. 2011;4:28–31. In Chinese.

    Google Scholar 

  11. Chuanfeng W, et al. Design on inference engine of the spacecraft thermal fault diagnosis expert system. J Beijing Univ Aeronaut Astronaut. 2005;31(1):60–2. In Chinese.

    Google Scholar 

  12. Zuqiang M, Feng L. Study fault detect expert system of flight simulator base on fault tree analysis. Sci Technol Eng. 2012;12(19):4853–6. In Chinese.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Licai Bi .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2015 Springer International Publishing Switzerland

About this paper

Cite this paper

Bi, L., Cheng, Y., Hu, D., Lv, W. (2015). Intelligent Diagnostics Applied Technology of Specialized Vehicle Based on Knowledge Reasoning. In: Wong, W. (eds) Proceedings of the 4th International Conference on Computer Engineering and Networks. Lecture Notes in Electrical Engineering, vol 355. Springer, Cham. https://doi.org/10.1007/978-3-319-11104-9_49

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-11104-9_49

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-11103-2

  • Online ISBN: 978-3-319-11104-9

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics