IDEAS home Printed from https://ideas.repec.org/h/spr/ssrchp/978-3-031-05347-4_16.html
   My bibliography  Save this book chapter

Mathematical Modeling for Evaluation Reliability of a Bleaching System

In: Predictive Analytics in System Reliability

Author

Listed:
  • Subhi Tyagi

    (Graphic Era Deemed to be University)

  • Akshay Kumar

    (Graphic Era Hill University)

  • Nupur Goyal

    (Graphic Era Deemed to be University)

  • Mangey Ram

    (Graphic Era Deemed to be University
    Peter the Great St. Petersburg Polytechnic University)

Abstract

The current research deals with the various reliability measures analysis for a complex bleaching system. The system has a complex structure with three subsystems A, B and C associated to each other in series arrangement. The subsystem A has only one unit and subsystem B and C have two identical units which are connected in parallel configuration with each other. In both the cases (B and C), second unit is in standby. The assumed bleaching framework has three type of states i.e., working, partially working and failed. The framework is assumed to be repaired from the degraded and failed states. Mathematical model of the designed framework is solved by means of supplementary variable technique and Markov process. Laplace transform of numerous differential equations is obtained. Various reliability measures such as reliability, availability, mean time to failure and expected cost are evaluated, graphical depiction of the reliability characteristics are also illustrated for the considered system.

Suggested Citation

  • Subhi Tyagi & Akshay Kumar & Nupur Goyal & Mangey Ram, 2023. "Mathematical Modeling for Evaluation Reliability of a Bleaching System," Springer Series in Reliability Engineering, in: Vijay Kumar & Hoang Pham (ed.), Predictive Analytics in System Reliability, pages 247-262, Springer.
  • Handle: RePEc:spr:ssrchp:978-3-031-05347-4_16
    DOI: 10.1007/978-3-031-05347-4_16
    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.

    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:ssrchp:978-3-031-05347-4_16. 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.