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Cost optimization of reliability testing by a bayesianapproach

Published online by Cambridge University Press:  28 August 2014

S. Beleulmi ,
A. Bellaouar  and
M. Lachi
S. Beleulmi
Affiliation:
Laboratoire ingénierie des transports et environnement Département de Génie Mécanique Faculté des sciences de la technologie Université Constantine 1 Constantine, Algeria
A. Bellaouar
Affiliation:
Laboratoire ingénierie des transports et environnement, Faculté des sciences de la technologie Université Constantine 1Constantine, Algeria
M. Lachi
Affiliation:
Laboratoire GRESPI, UFR Sciences, Université de Reims Champagne Ardenne, Reims, France
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Abstract

The Bayesian approach is a stochastic method, allowing to establish trend studies on thebehavior 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 inmodeling problem. The method is therefore particularly suitable for the analysis of thereliability tests, especially for equipment and organs whose different tests are costly.Bayesian techniques are used to reduce the size of estimation tests, improving theevaluation of the parameters of product reliability by the integration of the past (dataavailable on the product concerned) and process, the case “zero” failure observed,difficult to treat with conventional statistical approach. This study will concern thereduction in the number of tests on electronic or mechanical components installed in amechanical lift knowing their a priori behavior in order to determine their a posterioribehavior.

Keywords

Bayesian approachreliabilityoptimisationfailure rateaccelerated tests
Type
Research Article
Information
Mechanics & Industry , Volume 15 , Issue 5 , 2014 , pp. 449 - 454
Copyright
© AFM, EDP Sciences 2014

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