Reliability analysis for implanted multi-stent systems with stochastic dependent competing risk processes

Ali Arab, Elias Keedy, Qianmei Feng, Sanling Song, David W. Coit

Research output: Contribution to conferencePaperpeer-review

2 Scopus citations

Abstract

In this paper, we extend the previous work on reliability modeling of implanted stents in human arteries to a multi-component system of stents subject to delayed and instantaneous failures. Considering the physics- and probability-of-failure, we develop a system-level reliability model by combination of fracture mechanics and stochastic processes for a multi-component system of stents implanted in human arteries. In our new system-level reliability model, due to exposure of stents to the same shocks, the component failure times are probabilistically dependent. Two patient groups with different activity levels are considered and their corresponding system-level reliability functions are derived. Numerical examples using data from literature are presented to analyze the reliability of implanted multi-stent systems.

Original languageEnglish (US)
Pages3319-3327
Number of pages9
StatePublished - 2013
EventIIE Annual Conference and Expo 2013 - San Juan, Puerto Rico
Duration: May 18 2013May 22 2013

Other

OtherIIE Annual Conference and Expo 2013
Country/TerritoryPuerto Rico
CitySan Juan
Period5/18/135/22/13

All Science Journal Classification (ASJC) codes

  • Industrial and Manufacturing Engineering

Keywords

  • Failure mechanisms
  • Multiple stents
  • Stochastic dependent competing risks
  • System reliability

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