A Bayesian approach to the optimization reliability costs

S. Beleulmi 1, 2 ,
1 Mechanical Engineering Department, University of Constantine, 1, 25000, Algeria
2 Laboratory of Transport Engineering and Environment, Faculty of Technology, University of Constantine, 1, 25000, Algeria
3 Laboratory Thermomecanical, University of Reims Champagne Ardennes, France

World Journal of Engineering

ISSN: 1708-5284

Publication date: 20 February 2014

Abstract

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.

Keywords

Citation

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/10.1260/1708-5284.10.6.577

Download as .RIS

Publisher

:

Emerald Group Publishing Limited

Please note you might not have access to this content

You may be able to access this content by login via Shibboleth, Open Athens or with your Emerald account.
If you would like to contact us about accessing this content, click the button and fill out the form.
To rent this content from Deepdyve, please click the button.