Please use this identifier to cite or link to this item:
Title: Reliability modelling of stochastic wear-out failure
Authors: Goh, C.J.
Tang, L.C. 
Lim, S.C. 
Issue Date: 1989
Citation: Goh, C.J.,Tang, L.C.,Lim, S.C. (1989). Reliability modelling of stochastic wear-out failure. Reliability Engineering and System Safety 25 (4) : 303-314. ScholarBank@NUS Repository.
Abstract: This paper presents a reliability model for stochastic wear-out failure. The cumulative damage is modelled by a stochastic process and the time to failure is defined as the first passage time when the cumulative damage exceeds a certain prescribed threshold. Under some non-restrictive conditions, it was found that the time to failure can be approximated by an inverse Gaussian variate. This result has been confirmed by a comprehensive Monte-Carlo simulation. Thus, by evaluating the statistics of incremental damage over a fixed sampling time, the statistics of the time to failure and hence the reliability of the component under study may be deduced readily without having to resort to time-consuming life tests. A case study, based on the Archard wear theory in sliding-wear components, is presented to illustrate the model's applicability. © 1989.
Source Title: Reliability Engineering and System Safety
ISSN: 09518320
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

Page view(s)

checked on Jun 1, 2020

Google ScholarTM


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.