• DocumentCode
    2703454
  • Title

    Multi-state system importance analysis based on direct partial logic derivative

  • Author

    Zaitseva, Elena ; Levashenko, Vitaly ; Kostolny, Jozef

  • Author_Institution
    Dept. of Inf., Univ. of Zilina, Zilina, Slovakia
  • fYear
    2012
  • fDate
    15-18 June 2012
  • Firstpage
    1514
  • Lastpage
    1519
  • Abstract
    Multi-State System (MSS) is mathematical model of investigated object in reliability analysis. MSS allows present the investigated object in more detail than traditional Binary-State System. The importance analysis allows MSS reliability estimation depending on the system structure and its components states. Importance measures quantify the criticality of a particular component. They have been widely used as tools for identifying system weaknesses, and to priorities reliability improvement activities. New algorithms for calculation of the importance measures based on the methods of Multiple-Valued Logic are proposed. Direct Partial Logic Derivative and Multi-Valued Decision Diagram are used for these algorithms.
  • Keywords
    decision diagrams; estimation theory; importance sampling; multivalued logic; reliability theory; MSS reliability estimation; binary-state system; components states; direct partial logic derivative; importance measures; investigated object; mathematical model; multiple-valued logic; multistate system importance analysis; multivalued decision diagram; reliability analysis; reliability improvement activity; system structure; system weaknesses; Algorithm design and analysis; Benchmark testing; Bismuth; Calculus; Reliability; Silicon; Vectors; direct partial logic derivative; importance measures; multi-state system; multivalued decision diagram;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Quality, Reliability, Risk, Maintenance, and Safety Engineering (ICQR2MSE), 2012 International Conference on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4673-0786-4
  • Type

    conf

  • DOI
    10.1109/ICQR2MSE.2012.6246513
  • Filename
    6246513