• DocumentCode
    2017605
  • Title

    Investigation on system reliability optimization based on classification of criteria

  • Author

    Khorshidi, H.A. ; Gunawan, I. ; Ibrahim, M.Y.

  • Author_Institution
    Sch. of Appl. Sci. & Eng., Monash Univ., Churchill, VIC, Australia
  • fYear
    2013
  • fDate
    25-28 Feb. 2013
  • Firstpage
    1706
  • Lastpage
    1711
  • Abstract
    System reliability optimization has been considered as an area to improve the operational availability of electrical and manufacturing systems. This research area addresses system reliability estimation and mathematical model development. This paper presents a -review on system reliability optimization techniques based on different classification of criteria. The main criteria considered in this study are system structure, system state, optimization model, allocation model, modeling and solution methods. The classification can provide an overview of all criteria that should be used to make optimal decisions in a system by taking the reliability into account. Not only it can assist the researchers to develop new optimization models, but also it presents the practitioners how system reliability optimization models can help industries. The paper also discusses the limitations of the present techniques in this area.
  • Keywords
    optimisation; reliability theory; allocation model; classification of criteria; electrical systems; manufacturing systems; mathematical model development; operational availability improvement; system reliability optimization techniques; system state; system structure; Estimation; Mathematical model; Optimization; Power system reliability; Redundancy; Resource management; System reliability optimization (SRO); allocation model; classification; criteria; reliability estimation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Technology (ICIT), 2013 IEEE International Conference on
  • Conference_Location
    Cape Town
  • Print_ISBN
    978-1-4673-4567-5
  • Electronic_ISBN
    978-1-4673-4568-2
  • Type

    conf

  • DOI
    10.1109/ICIT.2013.6505932
  • Filename
    6505932