IDEAS home Printed from https://ideas.repec.org/a/eee/reensy/v111y2013icp171-182.html
   My bibliography  Save this article

Designing the database for a reliability aware Model-Based System Engineering process

Author

Listed:
  • Cressent, Robin
  • David, Pierre
  • Idasiak, Vincent
  • Kratz, Frederic

Abstract

This article outlines the need for a reliability database to implement model-based description of components failure modes and dysfunctional behaviors. We detail the requirements such a database should honor and describe our own solution: the Dysfunctional Behavior Database (DBD). Through the description of its meta-model, the benefits of integrating the DBD in the system design process is highlighted. The main advantages depicted are the possibility to manage feedback knowledge at various granularity and semantic levels and to ease drastically the interactions between system engineering activities and reliability studies. The compliance of the DBD with other reliability database such as FIDES is presented and illustrated.

Suggested Citation

  • Cressent, Robin & David, Pierre & Idasiak, Vincent & Kratz, Frederic, 2013. "Designing the database for a reliability aware Model-Based System Engineering process," Reliability Engineering and System Safety, Elsevier, vol. 111(C), pages 171-182.
    • Handle: RePEc:eee:reensy:v:111:y:2013:i:c:p:171-182
    DOI: 10.1016/j.ress.2012.10.014
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0951832012002177
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.ress.2012.10.014?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. David, Pierre & Idasiak, Vincent & Kratz, Frédéric, 2010. "Reliability study of complex physical systems using SysML," Reliability Engineering and System Safety, Elsevier, vol. 95(4), pages 431-450.
    2. Christophe Bérenguer & Antoine Grall & C. Guedes Soares, 2011. "Advances in Safety, Reliability and Risk Management - ESREL 2011," Post-Print hal-02273237, HAL.
    3. Unknown, 1959. "Annual Report on Tobacco Statistics, 1958," Statistical Bulletin 153597, United States Department of Agriculture, Economic Research Service.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Hu, Yunpeng & Peng, Qibo & Ni, Qing & Wu, Xinfeng & Ye, Dongming, 2023. "Event-based safety and reliability analysis integration in model-based space mission design," Reliability Engineering and System Safety, Elsevier, vol. 229(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Thomas Michael Welte & Iver Bakken Sperstad & Espen Høegh Sørum & Magne Lorentzen Kolstad, 2017. "Integration of Degradation Processes in a Strategic Offshore Wind Farm O&M Simulation Model," Energies, MDPI, vol. 10(7), pages 1-18, July.
    2. Lipaczewski, Michael & Ortmeier, Frank & Prosvirnova, Tatiana & Rauzy, Antoine & Struck, Simon, 2015. "Comparison of modeling formalisms for Safety Analyses: SAML and AltaRica," Reliability Engineering and System Safety, Elsevier, vol. 140(C), pages 191-199.
    3. Flage, Roger, 2014. "A delay time model with imperfect and failure-inducing inspections," Reliability Engineering and System Safety, Elsevier, vol. 124(C), pages 1-12.
    4. Roger Flage & Terje Aven & Piero Baraldi & Enrico Zio, 2012. "An imprecision importance measure for uncertainty representations interpreted as lower and upper probabilities, with special emphasis on possibility theory," Journal of Risk and Reliability, , vol. 226(6), pages 656-665, December.
    5. T. R. Wang & N. Pedroni & E. Zio & V. Mousseau, 2020. "Identification of Protective Actions to Reduce the Vulnerability of Safety‐Critical Systems to Malevolent Intentional Acts: An Optimization‐Based Decision‐Making Approach," Risk Analysis, John Wiley & Sons, vol. 40(3), pages 565-587, March.
    6. Enrique L Droguett & Isis D Lins & Márcio C Moura & Enrico Zio & Carlos M Jacinto, 2015. "Variable selection and uncertainty analysis of scale growth rate under pre-salt oil wells conditions using support vector regression," Journal of Risk and Reliability, , vol. 229(4), pages 319-326, August.
    7. Matellini, D.B. & Wall, A.D. & Jenkinson, I.D. & Wang, J. & Pritchard, R., 2013. "Modelling dwelling fire development and occupancy escape using Bayesian network," Reliability Engineering and System Safety, Elsevier, vol. 114(C), pages 75-91.
    8. Jenab, K. & Sarfaraz, A. & Dhillon, B.S. & Seyed Hosseini, S.M., 2012. "Dynamic MLD analysis with flow graphs," Reliability Engineering and System Safety, Elsevier, vol. 106(C), pages 80-85.
    9. repec:dau:papers:123456789/10609 is not listed on IDEAS
    10. Cuer, Romain & Piétrac, Laurent & Niel, Eric & Diallo, Saidou & Minoiu-Enache, Nicoleta & Dang-Van-Nhan, Christophe, 2018. "A formal framework for the safe design of the Autonomous Driving supervision," Reliability Engineering and System Safety, Elsevier, vol. 174(C), pages 29-40.
    11. Myriam Merad & Nicolas Dechy & Michel Llory & Frédéric Marcel & Alexis Tsoukiàs, 2012. "Towards an analytics and an ethics of expertise: Learning from decision aiding experiences in public risk assessment and risk management," Working Papers hal-00874392, HAL.
    12. Bjerga, Torbjørn & Aven, Terje & Zio, Enrico, 2014. "An illustration of the use of an approach for treating model uncertainties in risk assessment," Reliability Engineering and System Safety, Elsevier, vol. 125(C), pages 46-53.
    13. Hu, Yunpeng & Peng, Qibo & Ni, Qing & Wu, Xinfeng & Ye, Dongming, 2023. "Event-based safety and reliability analysis integration in model-based space mission design," Reliability Engineering and System Safety, Elsevier, vol. 229(C).
    14. Linlin Liu & Dongming Fan & Zili Wang & Dezhen Yang & Jingjing Cui & Xinrui Ma & Yi Ren, 2019. "Enhanced GO methodology to support failure mode, effects and criticality analysis," Journal of Intelligent Manufacturing, Springer, vol. 30(3), pages 1451-1468, March.
    15. James Chang, Y. & Bley, Dennis & Criscione, Lawrence & Kirwan, Barry & Mosleh, Ali & Madary, Todd & Nowell, Rodney & Richards, Robert & Roth, Emilie M. & Sieben, Scott & Zoulis, Antonios, 2014. "The SACADA database for human reliability and human performance," Reliability Engineering and System Safety, Elsevier, vol. 125(C), pages 117-133.

    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:eee:reensy:v:111:y:2013:i:c:p:171-182. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/reliability-engineering-and-system-safety .

    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.