• DocumentCode
    2006650
  • Title

    A kinetic model of failure occurrences in a chain reaction and an analysis using Bernstein polynomials and the Brownian motion with some relativity

  • Author

    Wagatsuma, Hiroaki

  • Author_Institution
    Dept. of Brain Sci. & Eng., Kyushu Inst. of Technol., Kitakyushu, Japan
  • fYear
    2012
  • fDate
    20-24 Nov. 2012
  • Firstpage
    332
  • Lastpage
    335
  • Abstract
    Failure occurrences in a system have been analyzed by using a stochastic process model such as Markov process. The event probability of the rare accident is conventionally described as a multiplication of probabilities of failure occurrences of individual components in the system, which is derived from the strong assumption of an independent probabilistic distribution. In this paper, I focus on a process of occurrence of lethal accidents with causal influences and cooperative actions and propose a kinetic model of failure occurrences in a chain reaction for mathematical analyses. In this theory, the cooperative Brownian motions are simulated as a model of the rare event if it passes through a narrow hole in walls that described by Bernstein polynomials.
  • Keywords
    Brownian motion; accidents; failure analysis; polynomials; reliability theory; risk analysis; statistical distributions; stochastic processes; Bernstein polynomial; chain reaction; cooperative Brownian motion; cooperative action; event probability; failure occurrence; independent probabilistic distribution; kinetic model; lethal accident occurrence process; mathematical analyses; rare accident; relativity; stochastic process model; Bézier curve; Ergodic theory; binomial theorem; de Casteljau´s algorithm; recursive protocol;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Soft Computing and Intelligent Systems (SCIS) and 13th International Symposium on Advanced Intelligent Systems (ISIS), 2012 Joint 6th International Conference on
  • Conference_Location
    Kobe
  • Print_ISBN
    978-1-4673-2742-8
  • Type

    conf

  • DOI
    10.1109/SCIS-ISIS.2012.6505276
  • Filename
    6505276