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자연과학대학
통계학전공
Journal papers
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Point process approach to modeling and analysis of general cascading failure models
Title
Point process approach to modeling and analysis of general cascading failure models
Authors
Lee H.
;
Cha J.H.
Ewha Authors
차지환
SCOPUS Author ID
차지환
Issue Date
2016
Journal Title
Journal of Applied Probability
ISSN
0021-9002
Citation
Journal of Applied Probability vol. 53, no. 1, pp. 174 - 186
Keywords
Cascading failure
;
Information-based residual lifetime
;
Risk measure
;
Stochastic intensity
;
κ-out-of-n system
Publisher
Applied Probability Trust
Indexed
SCI; SCIE; SCOPUS
Document Type
Article
Abstract
A cascading failure is a failure in a system of interconnected parts in which the failure of a part can trigger the failure of successive parts. Although an initial and introductory approach for probabilistic modeling and analysis of the cascading failures was suggested in the literature, any general framework and fundamental results have yet to be reported. In this paper, applying the point process approach, we suggest a general framework for modeling and analysis of the cascading failures. Furthermore, a new concept of 'information-based residual lifetime' will be defined and discussed. © Applied Probability Trust 2016.
DOI
10.1017/jpr.2015.17
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