• DocumentCode
    3286954
  • Title

    Statistical methods to analyse failures of complex systems in presence of wear, fatigue and degradation: An engineering perspective in accelerated trials

  • Author

    Bagdonavicius, V. ; Nikulin, M.

  • Volume
    01
  • fYear
    2008
  • fDate
    23-25 Sept. 2008
  • Firstpage
    199
  • Lastpage
    199
  • Abstract
    Dynamic regression models are exposed. They are well adapted to study the phenomena of longevity, aging, fatigue and degradation of complex system, and hence to be used in organization of the efficient statistical process of quality control in dynamic environments.
  • Keywords
    Acceleration; Degradation; Electromagnetic modeling; Failure analysis; Fatigue; Filters; Multidimensional systems; Polynomials; Software systems; Statistical analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electronic Instrument Engineering, 2008. APEIE 2008. 9th International Conference on Actual Problems of
  • Conference_Location
    Novosibirsk, Russia
  • Print_ISBN
    978-1-4244-2825-0
  • Type

    conf

  • DOI
    10.1109/APEIE.2008.4897181
  • Filename
    4897181