Estimation of a log-linear model for the reliability assessment of products under two stress variables

Luis Alberto Rodríguez-Picón () and Víctor Hugo Flores-Ochoa ()
Additional contact information
Luis Alberto Rodríguez-Picón: Autonomous University of Ciudad Juárez
Víctor Hugo Flores-Ochoa: Technological Institute of Ciudad Juárez

International Journal of System Assurance Engineering and Management, 2017, vol. 8, issue 2, No 39, 1026-1040

Abstract: Abstract In this article, different models for reliability inference of devices affected by more than one accelerating variable in accelerated life tests are presented. General log-linear relationship is modeled with the lognormal and Weibull distributions considering the effect of two accelerating variables. Estimation of the parameters is performed via maximum likelihood estimation using the Newton–Raphson algorithm and through a Bayesian approach defining conjugate prior and initial non-informative distributions. In order to illustrate these models, an example is presented based on an accelerated life test applied to resistances. Obtained results show that although there are slight differences in the estimates of the parameters based on the two models and approaches, it can be noted that they have an important impact in the reliability inference. The best model and estimation approach is selected via information criteria. In addition, reliability information is obtained from the device under study.

Keywords: General log-linear; Accelerated life test; Multi-stress; MLE; Bayesian; Information criteria (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://link.springer.com/10.1007/s13198-016-0564-6 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:ijsaem:v:8:y:2017:i:2:d:10.1007_s13198-016-0564-6

Ordering information: This journal article can be ordered from
http://www.springer.com/engineering/journal/13198

DOI: 10.1007/s13198-016-0564-6

Access Statistics for this article

International Journal of System Assurance Engineering and Management is currently edited by P.K. Kapur, A.K. Verma and U. Kumar

More articles in International Journal of System Assurance Engineering and Management from Springer, The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().