

Author: Jiang Renyan
Publisher: Taylor & Francis Ltd
ISSN: 0361-0926
Source: Communications in Statistics: Theory and Methods, Vol.41, Iss.21, 2012-11, pp. : 3974-3987
Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.
Abstract
Intrinsic and extrinsic factors affect the field reliability of a product. This makes the field reliability generally different from the inherent reliability. It is desired that a field reliability model can provide the information about the inherent reliability and quantify the effects of main extrinsic factors on reliability. This article presents three such life distribution models that can quantitatively reflect the effect of tests, transport and storage process, or/and operating variability on reliability. A real-world example is included to illustrate the appropriateness and usefulness of these models. The significance and interpretation of the felid reliability model are also discussed.
Related content


Data-Based Modeling of the Failure Rate of Repairable Equipment
By Baker R.D.
Lifetime Data Analysis, Vol. 7, Iss. 1, 2001-03 ,pp. :




Additive transformation models for clustered failure time data
By Zeng Donglin
Lifetime Data Analysis, Vol. 16, Iss. 3, 2010-07 ,pp. :


A new compounding life distribution: the Weibull-Poisson distribution
Journal of Applied Statistics, Vol. 39, Iss. 1, 2012-01 ,pp. :