Point process approach to modeling and analysis of general cascading failure models

Hyunju Lee, Ji Hwan Cha

Research output: Contribution to journalArticlepeer-review

5 Scopus citations

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.

Original languageEnglish
Pages (from-to)174-186
Number of pages13
JournalJournal of Applied Probability
Volume53
Issue number1
DOIs
StatePublished - Mar 2016

Bibliographical note

Publisher Copyright:
© Applied Probability Trust 2016.

Keywords

  • Cascading failure
  • Information-based residual lifetime
  • Risk measure
  • Stochastic intensity
  • κ-out-of-n system

Fingerprint

Dive into the research topics of 'Point process approach to modeling and analysis of general cascading failure models'. Together they form a unique fingerprint.

Cite this