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Cost optimization of reliability testing by a bayesian approach

Beleulmi, S. ; Bellaouar, A. ; Lachi, M.

Mechanics & industry : an international journal on mechanical sciences and engineering applications, 2014-01, Vol.15 (5), p.449-454 [Periódico revisado por pares]

Villeurbanne: EDP Sciences

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  • Título:
    Cost optimization of reliability testing by a bayesian approach
  • Autor: Beleulmi, S. ; Bellaouar, A. ; Lachi, M.
  • Assuntos: accelerated tests ; Bayesian approach ; failure rate ; optimisation ; reliability
  • É parte de: Mechanics & industry : an international journal on mechanical sciences and engineering applications, 2014-01, Vol.15 (5), p.449-454
  • Notas: PII:S2257777714000554
    istex:84D4B9C3A36C934197570A2565F2A2CA00982D4C
    publisher-ID:mi140013
    ark:/67375/80W-31X24J55-6
    Corresponding author: Salimab05@Yahoo.fr
  • Descrição: The Bayesian approach is a stochastic method, allowing to establish trend studies on the behavior of materials between two periods or after a break in the life of these materials. It naturally integrates the inclusion of the information partially uncertain to support in modeling problem. The method is therefore particularly suitable for the analysis of the reliability tests, especially for equipment and organs whose different tests are costly. Bayesian techniques are used to reduce the size of estimation tests, improving the evaluation of the parameters of product reliability by the integration of the past (data available on the product concerned) and process, the case “zero” failure observed, difficult to treat with conventional statistical approach. This study will concern the reduction in the number of tests on electronic or mechanical components installed in a mechanical lift knowing their a priori behavior in order to determine their a posteriori behavior.
  • Editor: Villeurbanne: EDP Sciences
  • Idioma: Inglês
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  • Realização: ABCD-USP USP   Logos de Redes Sociais: Freepik

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