Please use this identifier to cite or link to this item:
https://scholarbank.nus.edu.sg/handle/10635/87203
DC Field | Value | |
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dc.title | Reliability modelling of stochastic wear-out failure | |
dc.contributor.author | Goh, C.J. | |
dc.contributor.author | Tang, L.C. | |
dc.contributor.author | Lim, S.C. | |
dc.date.accessioned | 2014-10-07T10:25:26Z | |
dc.date.available | 2014-10-07T10:25:26Z | |
dc.date.issued | 1989 | |
dc.identifier.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. | |
dc.identifier.issn | 09518320 | |
dc.identifier.uri | http://scholarbank.nus.edu.sg/handle/10635/87203 | |
dc.description.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. | |
dc.source | Scopus | |
dc.type | Article | |
dc.contributor.department | INDUSTRIAL & SYSTEMS ENGINEERING | |
dc.description.sourcetitle | Reliability Engineering and System Safety | |
dc.description.volume | 25 | |
dc.description.issue | 4 | |
dc.description.page | 303-314 | |
dc.description.coden | RESSE | |
dc.identifier.isiut | NOT_IN_WOS | |
Appears in Collections: | Staff Publications |
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