Skip to main content

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 288))

  • 2164 Accesses

Abstract

Running gear, as the key equipment of metro vehicles, its hazard evaluation is important for metro operation. But the most existing evaluation methods lack entire evaluation and over-reliance on subjective experience. Therefore, a complete hazard evaluation index system of running gear was established based on the inspection data and expert assessment. And for considering both quantitative and qualitative aspects, the hazard state of running gear was assessed by extension theory and entropy weight method. And specific application to a running gear at different time proved that the proposed method is practicable.

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 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 219.99
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 N, Xie J, Zhou S (2010) Method to assess fatigue of tread breaking of metro vehicle wheel and its application. Eng Mech 27(9):234–239 (in chinese)

    Google Scholar 

  2. Su D, Wang F, Chi B (2005) The monitoring system of metro vehicle running gear. Mech Eng 2007(7):92–93 (in chinese)

    Google Scholar 

  3. Pan L, Chen H, Qin Y et al (2012) Fault diagnosis method for rolling bearing of railway vehicle based on wavelet packet and RBF neural network. Railway Comput Appl 21(7):8–11 (in chinese)

    Google Scholar 

  4. Li X (2011) Research on urban rail transit vehicle running gear safety assessment methodology. Doctoral Dissertation of Beijing Jiaotong University, 2011:17–63 (in chinese)

    Google Scholar 

  5. Zhang Y, Qin Y, Xing Z et al (2012) Roller bearing safety region estimation and state identification based on LMD-PCA-LSSVM. Measurement (Accepted 2012)

    Google Scholar 

  6. Wei X, Jia L, Liu H A (2013) comparative study on fault detection methods of rail vehicle suspension systems based on acceleration measurements. Vehicle Syst Dyn 51(5):700–720

    Google Scholar 

  7. Mei TX, Ding XJ (2008) A model-less technique for the fault detection of rail vehicle suspensions. Vehicle Syst Dyn 46:277–287

    Article  Google Scholar 

  8. Wei X, Liu H, Qin Y (2011) Fault diagnosis of rail vehicle suspension systems by using GLRT. In: 2011 23rd Chinese control and decision conference, pp 1932–1937

    Google Scholar 

  9. Fu X (2007) Research on urban rail transit vehicle failure risk assessment methodology. Master degree thesis of Beijing Jiaotong university, pp 11–72 (in chinese)

    Google Scholar 

  10. Xu H, Yuan H, Wang L et al (2010) Modeling of metro wheel wear and optimization of the wheel re-profiling strategy based on gaussian processes. J Mech Eng 46(24):88–94 (in chinese)

    Google Scholar 

  11. Wu M (2009) Research on rolling bearing fault inspection system. Master degree thesis of North China electric power university (in chinese)

    Google Scholar 

  12. Fu Y (2008) Safety evaluation monitoring system of train equipment. Master degree thesis of Beijing Jiaotong university, pp 52–71 (in chinese)

    Google Scholar 

  13. Yang C, Cai W (2007) Extension engineering. Science Press, Beijing, pp 1–111 (in chinese)

    Google Scholar 

Download references

Acknowledgments

This research was sponsored by National Hightech R&D Program of China (863 Program, No. 2011AA110501). The supports are gratefully acknowledged.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Yuan Zhang .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2014 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Liao, G., Qin, Y., Zhang, Y., Cheng, X., Xing, Z. (2014). Research on Hazard Evaluation of Urban Rail Train Based on the Extension Theory. In: Jia, L., Liu, Z., Qin, Y., Zhao, M., Diao, L. (eds) Proceedings of the 2013 International Conference on Electrical and Information Technologies for Rail Transportation (EITRT2013)-Volume II. Lecture Notes in Electrical Engineering, vol 288. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-53751-6_28

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-53751-6_28

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-53750-9

  • Online ISBN: 978-3-642-53751-6

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics