Please use this identifier to cite or link to this item: https://doi.org/10.1002/qre.1022
Title: Bivariate constant stress degradation model: Led lighting system reliability estimation with two-stage modelling
Authors: Sari, J.K.
Newby, M.J.
Brombacher, A.C.
Tang, L.C. 
Keywords: Bivariate CSDT
Copula function
Generalized linear model
Led lighting system
Issue Date: Dec-2009
Source: Sari, J.K., Newby, M.J., Brombacher, A.C., Tang, L.C. (2009-12). Bivariate constant stress degradation model: Led lighting system reliability estimation with two-stage modelling. Quality and Reliability Engineering International 25 (8) : 1067-1084. ScholarBank@NUS Repository. https://doi.org/10.1002/qre.1022
Abstract: Light-emitting diode (LED) lamp has received great attention as a potential replacement for the more commercially available lighting technology, such as incandescence and fluorescence lamps. LED which is the main component of LED lamp has a very long lifetime. This means that no or very few failures are expected during LED lamp testing. Therefore, degradation testing and modelling are needed. Because the complexity of modern lighting system is increasing, it is possible that more than one degradation failures dominate the system reliability. If degradation paths of the system's performance characteristics (PCs) tend to be comonotone there is a likely dependence between the PCs because of the system's common usage history. In this paper, a bivariate constant stress degradation data model is proposed. The model accommodates assumptions of dependency between PCs and allows the use of different marginal degradation distribution functions. Consequently, a better system reliability estimation can be expected from this model than from a model with independent PCs assumption. The proposed model is applied to an actual LED lamps experiment data. Copyright © 2009 John Wiley & Sons, Ltd.
Source Title: Quality and Reliability Engineering International
URI: http://scholarbank.nus.edu.sg/handle/10635/63044
ISSN: 07488017
DOI: 10.1002/qre.1022
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