Skip to main content

The Research on System Reliability in Complex External Conditions Based on SVM

  • Conference paper
Advanced Research on Electronic Commerce, Web Application, and Communication (ECWAC 2011)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 143))

  • 1965 Accesses

Abstract

Analysis method based on support vector machine and finite element combined with Monte Carlo is applied for the parts in complex external conditions or surroundings, it is difficult to built reliability model of the parts in complex the external conditions or surroundings and it is difficult to establish stress and intention distribution and joint probability density because they work in an uncertain environment, the support vector machine has a good generalization ability prediction ability, integration algorithm based on support vector machine, finite element and Monte Carlo can solve the questions and can excellently use for reliability simulation and calculation for complex and certain system. It is used for reliability analysis of catenary parts in the high-speed electrified railway, integration algorithm mathematic model of reliability analysis for location hook is built, and the outside parameter influence on wrist-arm of location hook is analyzed by the model.

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 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight 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

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Yu, W.J.: High speed electrization railway catenary. Southwest Jiaotong University Press, Chengdu (2002)

    Google Scholar 

  2. Zhang, J.R.: Structure reliability theory and application for bridge engineering. Public Jiaotong press, Beijing (2003)

    Google Scholar 

  3. Wan, Y.: Connecting bolt reliability analysis based on finite element and machine learning theory. In: 2010 Second ETP/IITA World Congress in Applied Computing, Computer Science, and Computer Engineering/2010 ACC, pp. 323–326. IEEE Computer Society, Los Alamitos (2010)

    Google Scholar 

  4. Zhang, Y.G.: Reliability simulation and analysis of messenger wire bearing on electrified railways. In: International Conference on Optics, Photonics and Energy Engineering, vol. (1), pp. 184–187 (2010)

    Google Scholar 

  5. Yang, S.K.: Simulation method of structure reliability based on artificial neural network. Mechanical Intension 21(4), 12–16 (2004)

    Google Scholar 

  6. Xiao, R., Wang, J.C., Sun, Z.X., et al.: An approach to incremental SVM learning algorithm. Journal of Nanjing University (Natural Sciences) 38(2), 152–157 (2002)

    Google Scholar 

  7. Guo, C.D., Li, S.Z.: Control - based Audio Classification and Retrieval by Support Vector Machines. IEEE Trans. on Neural Network 14(1), 115–209 (2003)

    Google Scholar 

  8. Cristianini, N., Shawe-Taylor, J.: An Introduction to Support Vector Machines and Other Kernel-based Learning Methods. University Press, Cambridge (2000)

    Book  MATH  Google Scholar 

  9. Vapnik, V.N.: Statistical Learning Theory. Springer, New York (2000)

    MATH  Google Scholar 

  10. Kiyohiro.: Reliability analysis of geometrically nonlinear structures with application to suspension bridges, Dissertation Abstracts International. The University of Michigan, Ann Arbor (1999)

    Google Scholar 

  11. Yang, Z.J.: Intensity Analysis of Parts of the Middle Catenary Supporting. Southwest Jiaotong university, Chengdu (2006)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2011 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Wan, Y., Xu, Y. (2011). The Research on System Reliability in Complex External Conditions Based on SVM. In: Shen, G., Huang, X. (eds) Advanced Research on Electronic Commerce, Web Application, and Communication. ECWAC 2011. Communications in Computer and Information Science, vol 143. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-20367-1_35

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-20367-1_35

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-20366-4

  • Online ISBN: 978-3-642-20367-1

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics