IDEAS home Printed from https://ideas.repec.org/h/spr/spochp/978-3-030-39126-3_4.html
   My bibliography  Save this book chapter

Reliability Analysis

In: Aerospace System Analysis and Optimization in Uncertainty

Author

Listed:
  • Jérôme Morio

    (2, Avenue Edouard Belin- BP 74025)

  • Loïc Brevault

    (Chemin de la Hunière BP 80100)

  • Mathieu Balesdent

    (Chemin de la Hunière BP 80100)

Abstract

Assessing the reliability of a complex system with uncertainty propagation consists in estimating its probability of failure. Common sampling strategies for such tasks are notably based on Monte Carlo sampling. This kind of methods is well suited to characterize events of which associated probabilities are not too low with respect to the simulation budget. However, for critical systems such as aerospace vehicles, the reliability specifications often induce very low probability of failures (said below 10−4). In this case, Monte Carlo based methods are not efficient inducing unaffordable costs with regard to the available simulation budget. In this chapter, we review the main simulation techniques to estimate low failure probabilities with accuracy.

Suggested Citation

  • Jérôme Morio & Loïc Brevault & Mathieu Balesdent, 2020. "Reliability Analysis," Springer Optimization and Its Applications, in: Aerospace System Analysis and Optimization in Uncertainty, chapter 0, pages 119-146, Springer.
    • Handle: RePEc:spr:spochp:978-3-030-39126-3_4
    DOI: 10.1007/978-3-030-39126-3_4
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:spochp:978-3-030-39126-3_4. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.