Modelling failure rates according to time and influencing factors - Ineris - Institut national de l'environnement industriel et des risques Access content directly
Journal Articles International Journal of Reliability and Safety Year : 2011

Modelling failure rates according to time and influencing factors

Abstract

Reliability of systems often depends on their age (aging or burn-in period), on intrinsic factors (dimensioning, quality of components, material, etc.) and on conditions of use (environment, load rate, stress, etc.). Modelling of failure rates as a function of time and influencing factors is therefore proposed. The latter combines a Weibull distribution and a Cox proportional hazards model. A rather flexible representation of the system life phases is then possible, as well as consideration of a large variety of qualitative or quantitative, precise or approximate, influencing factors. The approach which is presented uses feedback data to define the model parameters by maximum likelihood estimations. An application on safety valves provides an illustration of this approach and an evaluation of the model performances.
No file

Dates and versions

ineris-00963314 , version 1 (21-03-2014)

Identifiers

Cite

Florent Brissaud, Brice Lanternier, Dominique Charpentier. Modelling failure rates according to time and influencing factors. International Journal of Reliability and Safety, 2011, 5 (2), pp.95-109. ⟨10.1504/IJRS.2011.039299⟩. ⟨ineris-00963314⟩

Collections

INERIS
30 View
0 Download

Altmetric

Share

Gmail Mastodon Facebook X LinkedIn More