Mechanics & Industry
Volume 15, Number 5, 2014
|Page(s)||449 - 454|
|Published online||28 August 2014|
Cost optimization of reliability testing by a bayesian approach
1 Laboratoire ingénierie des transports
et environnement Département de Génie Mécanique Faculté des sciences de la technologie
Université Constantine 1
2 Laboratoire ingénierie des transports et environnement, Faculté des sciences de la technologie Université Constantine 1 Constantine, Algeria
3 Laboratoire GRESPI, UFR Sciences, Université de Reims Champagne Ardenne, Reims, France
Accepted: 15 May 2014
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.
Key words: Bayesian approach / reliability / optimisation / failure rate / accelerated tests
Corresponding author: Salimab05@Yahoo.fr
© AFM, EDP Sciences 2014
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