IDEAS home Printed from https://ideas.repec.org/a/sae/risrel/v228y2014i3p218-229.html
   My bibliography  Save this article

Reliability and availability analysis of the structural observability of bilinear systems: A graph-theoretical approach

Author

Listed:
  • Manal Dakil
  • Christophe Simon
  • Taha Boukhobza

Abstract

This article deals with the reliability and the availability of the structural observability of bilinear systems using a graph-theoretical approach. The observability is a necessary property for the control, monitoring, and diagnosis of continuous systems. This property can be verified graphically. By linking the validation states of edges with the operating states of the system components, it is possible to express the satisfaction of the observability as a Boolean expression based on the operating state of the system components. In this work, we consider the failures of all the system components: internal and external (actuators/sensors). Using the Boolean expression, it is easy to obtain the corresponding Markov chain which allows us to compute the reliability/availability or the reliability of the property. The information on the reliability/availability of the observability allows us to predict the satisfaction of this property during the mission time of the system when one or more components fail. The proposed graphical approach considers only the knowledge of the system structure. Thus, the study can start at the early phases of the system life-cycle.

Suggested Citation

  • Manal Dakil & Christophe Simon & Taha Boukhobza, 2014. "Reliability and availability analysis of the structural observability of bilinear systems: A graph-theoretical approach," Journal of Risk and Reliability, , vol. 228(3), pages 218-229, June.
  • Handle: RePEc:sae:risrel:v:228:y:2014:i:3:p:218-229
    DOI: 10.1177/1748006X13519620
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/1748006X13519620
    Download Restriction: no

    File URL: https://libkey.io/10.1177/1748006X13519620?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
    ---><---

    References listed on IDEAS

    as
    1. Chen, Ting-Li & Hwang, Chii-Ruey, 2013. "Accelerating reversible Markov chains," Statistics & Probability Letters, Elsevier, vol. 83(9), pages 1956-1962.
    Full references (including those not matched with items on IDEAS)

    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. Hua, Chen-Wei & Chen, Ting-Li, 2022. "On multiple acceleration of reversible Markov chain," Statistics & Probability Letters, Elsevier, vol. 189(C).
    2. Marie Vialaret & Florian Maire, 2020. "On the Convergence Time of Some Non-Reversible Markov Chain Monte Carlo Methods," Methodology and Computing in Applied Probability, Springer, vol. 22(3), pages 1349-1387, September.
    3. Wu, Chi-Hao & Chen, Ting-Li, 2018. "On the asymptotic variance of reversible Markov chain without cycles," Statistics & Probability Letters, Elsevier, vol. 137(C), pages 224-228.
    4. Hwang, Chii-Ruey & Normand, Raoul & Wu, Sheng-Jhih, 2015. "Variance reduction for diffusions," Stochastic Processes and their Applications, Elsevier, vol. 125(9), pages 3522-3540.
    5. Shiu, Shang-Ying & Chen, Ting-Li, 2015. "On the rate of convergence of the Gibbs sampler for the 1-D Ising model by geometric bound," Statistics & Probability Letters, Elsevier, vol. 105(C), pages 14-19.
    6. Belmabrouk, Nadia & Damak, Mondher & Yaakoubi, Nejib, 2022. "Dirichlet eigenvalue problems of irreversible Langevin diffusion," Statistics & Probability Letters, Elsevier, vol. 180(C).

    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:sae:risrel:v:228:y:2014:i:3:p:218-229. 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: SAGE Publications (email available below). General contact details of provider: .

    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.