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.
Beleulmi, S., Bellaouar, A. and Lachi, M. (2014), "A Bayesian approach to the optimization reliability costs", World Journal of Engineering, Vol. 10 No. 6, pp. 577-584. https://doi.org/10.1260/1708-52188.8.131.527Download as .RIS
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