Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Archivio Istituziona...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
https://doi.org/10.1109/rams.2...
Article . 2004 . Peer-reviewed
Data sources: Crossref
versions View all 2 versions
addClaim

Parametric fault trees with dynamic gates and repair boxes

Authors: BOBBIO, Andrea; CODETTA RAITERI, Daniele;

Parametric fault trees with dynamic gates and repair boxes

Abstract

A new approach is proposed to include s-dependencies in fault tree (FT) models. With respect to previous techniques, the approach presented in this paper is based on two peculiar powerful features. First, adopting a parameterization technique, referred to as parametric FT (PFT), to fold equal subtrees (or basic events) in order to resort to a more compact FT representation. It is shown that parameterization can be conveniently adopted as well for dynamic gates. Second, PFT can be modularized and each module translated into a high level colored Petri net in the form of a stochastic well-formed net (SWN). SWN generate a lumped Markov chain and the saving in the dimension of the state space can be very substantial with respect to standard (non colored) Petri nets. Translation of PFT modules into SWN has proved to be very flexible, and various kinds of new dependencies can be easily accommodated. In order to exploit this flexibility a new primitive, called repair box, is introduced. A repair box, attached to an event, causes the starting of a repair activity of all the components that failed as the event occurs. In contrast to all the previous FT based models, the addition of repair boxes enables the approach to model cyclic behaviors. The proposed approach as dynamic repairable PFT (DRPFT) was referred to. A tool supporting DRPFT is briefly described and the tool is validated by analyzing a benchmark proposed recently in the literature for quantitative comparison [H. Zhu et al., 2001].

Country
Italy
  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    47
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 1%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
47
Top 10%
Top 1%
Top 10%
Upload OA version
Are you the author of this publication? Upload your Open Access version to Zenodo!
It’s fast and easy, just two clicks!