Skip to main content

Grey Differential Equation GM(1,1) Models in Repairable System Modeling

  • Chapter
Book cover Computational Intelligence in Reliability Engineering

Part of the book series: Studies in Computational Intelligence ((SCI,volume 40))

Abstract

Theory and methodology of repairable system modeling is in nature a stochastic process modeling, particularly, point process modeling. Since Ascher and Feingold [2] foundational work in repairable system modeling, many works were contributing to this research field, for example, Anderson et al [1], Cox [7], Dagpunar [9], Kijima [53], and Guo et al [27].

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 PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
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

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2007 Springer-Verlag Berlin Heidelberg

About this chapter

Cite this chapter

Guo, R. (2007). Grey Differential Equation GM(1,1) Models in Repairable System Modeling. In: Levitin, G. (eds) Computational Intelligence in Reliability Engineering. Studies in Computational Intelligence, vol 40. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-37372-8_14

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-37372-8_14

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-37371-1

  • Online ISBN: 978-3-540-37372-8

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics