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dc.contributor.authorGaver, Donald P.
dc.contributor.authorJacobs, Patricia A.
dc.date.accessioned2014-08-28T23:19:49Z
dc.date.available2014-08-28T23:19:49Z
dc.date.issued2014
dc.identifier.citationReliability Engineering and System Safety, Volume 130, pp. 27-32, 2014.
dc.identifier.urihttp://hdl.handle.net/10945/43156
dc.descriptionThe article of record as published may be located at http://dx.doi.org/10.1016/j.ress.2014.04.012en_US
dc.description.abstractModern systems, civilian (e.g. automotive), and military (manned and unmanned aircraft, surface vehicles, submerged vessels), suffer initial design faults or failure modes (FMs), including software bugs, which detrimentally affect the system's reliability and availability. FMs must be removed or mitigated in impact during initial testing, including accelerated testing, in order for the system to meet its reliability requirements and operate satisfactorily in the field. This paper concerns models for reliability growth in which the behaviors of FMs are assumed independent, but of different types. Test effort is guided by prior information, expressed probabilistically, on the random number and tenacities of such FMs that are of various origins in the designs. Estimation of the numbers of FMs that will ultimately activate while in the field is considered here.en_US
dc.rightsThis publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.en_US
dc.titleReliability growth by failure mode removalen_US
dc.typeArticleen_US
dc.contributor.departmentOperations Research
dc.subject.authorReliability growthen_US
dc.subject.authorInfinite server queueen_US
dc.subject.authorPoisson thinningen_US


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