TY  - JOUR
AB  - The lack of reliability testing in a project finds its reason in financial considerations and deadlines. In this context, Bayesian techniques find their applications as they contribute to a significant reduction in the amount of reliability testing based on the classical approach, with the knowledge of the reliability data on a priori relevant components. This paper is devoted to a Bayesian approach to the optimization reliability costs of tests conducted on the electronic components installed in a lift. The Bayesian estimation provides a failure rate of 1,795·10-6 failure/hr to 60% confidence instead of 2,771·10-6 failure / hr after testing. A gain of 64, 77% in terms of time and therefore the cost of testing will be reduced considerably. When the number of failures increases (K0 = 2; 3 and 5), the real tests are not added to virtual testing and a decrease in time to be won has been recorded.
VL  - 10
IS  - 6
SN  - 1708-5284
DO  - 10.1260/1708-5284.10.6.577
UR  - https://doi.org/10.1260/1708-5284.10.6.577
AU  - Beleulmi S.
AU  - Bellaouar A.
AU  - Lachi M.
PY  - 2014
Y1  - 2014/01/01
TI  - A Bayesian approach to the optimization reliability costs
T2  - World Journal of Engineering
PB  - Emerald Group Publishing Limited
SP  - 577
EP  - 584
Y2  - 2024/05/09
ER  -