• DocumentCode
    1769073
  • Title

    Reliability assessment method of multi-state system based on accelerated degradation testing

  • Author

    Zongyue Yu ; Chen Han ; Zhiqian Ren ; Xun Chen

  • Author_Institution
    Sci. & Technol. on Integrated Logistics Support Lab., Nat. Univ. of Defense Technol., Changsha, China
  • fYear
    2014
  • fDate
    24-27 Aug. 2014
  • Firstpage
    60
  • Lastpage
    65
  • Abstract
    To assess the reliability of a high-reliability and complicated system, a reliability assessment method of multi-state system (MSS) based on an accelerated degradation testing (ADT) is proposed. Firstly, the degradation data for ADT is transferred to the data for normal stress test through the acceleration model. According to the transferred data, degradation track and distribution parameters of system performance index are acquired. Secondly, the states of components are defined according to the performance levels of components, and the corresponding states probabilities of components are calculated. Thirdly, the universal generating function of system is expressed and the reliability assessment result of the multi-state system is calculated according to the universal generating function. Finally, a numerical example illustrates the proposed method. The results show that the proposed method is efficient.
  • Keywords
    life testing; reliability; stress analysis; accelerated degradation testing; degradation track; distribution parameter; multistate system; normal stress test; reliability assessment; system performance index; universal generating function; Degradation; Life estimation; Reliability; Resistance; Stress; System performance; Testing; Arrhenius model; accelerated degradation testing; multi-state system; universal generating function;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Prognostics and System Health Management Conference (PHM-2014 Hunan), 2014
  • Conference_Location
    Zhangiiaijie
  • Print_ISBN
    978-1-4799-7957-8
  • Type

    conf

  • DOI
    10.1109/PHM.2014.6988133
  • Filename
    6988133