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A new generalized burn-in procedure for items in stochastically evolving population

Title
A new generalized burn-in procedure for items in stochastically evolving population
Authors
Lee, HyunjuCha, Ji Hwan
Ewha Authors
차지환
SCOPUS Author ID
차지환scopus
Issue Date
2016
Journal Title
APPLIED MATHEMATICAL MODELLING
ISSN
0307-904XJCR Link1872-8480JCR Link
Citation
vol. 40, no. 19-20, pp. 8338 - 8351
Keywords
Stochastically evolving populationDependent increment propertyOperational historyStochastic intensityOptimal burn-in
Publisher
ELSEVIER SCIENCE INC
Indexed
SCIE; SCOPUS WOS scopus
Abstract
In practice, the reliability performance of items in operation strongly depends on the operational history or the working environment. Thus, most often, the population stochastically evolves depending on it rather than being static. For example, the failure and repair history strongly affects the future reliability performance of the item in operation. In this case, even though the population of items initially starts from a homogeneous one, it gradually evolves to a heterogeneous one. Until now, most studies on burn-in have been performed assuming that the population is static. In this paper, a new generalized burn in procedure for items in stochastically evolving population is developed and its stochastic properties are analyzed. Based on the obtained theoretical results, the optimal burn-in procedure which balances two criteria is studied. (C) 2016 Elsevier Inc. All rights reserved.
DOI
10.1016/j.apm.2016.04.025
Appears in Collections:
자연과학대학 > 통계학전공 > Journal papers
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