ABSTRACT
The fault tree is a graphical model used in the dependability field for representing the faulty state of a system as a function of the faulty states of its components. Its deductive nature (top down) provides to it a powerful ability of analysis. It shares the same Boolean and probabilistic bases with the reliability diagram modeling and has links with the cause-consequence diagram or the event tree approaches. This article describes how to handle this model as well as the difficulties and solutions to use it qualitatively or quantitatively, it introduces the use of the binary decision diagrams and provides some information about non-coherence aspects.
Read this article from a comprehensive knowledge base, updated and supplemented with articles reviewed by scientific committees.
Read the article
INTRODUCTION
Unlike reliability diagrams (BDF), whose creation date is unknown, fault trees (ADD) have been clearly identified
,
. The ADD method was developed in 1962 by H.A. Watson as part of the US Air Force's Minuteman project. It immediately proved so effective that it was rapidly adopted in aeronautics, then in the space industry
and nuclear industry
, and is now used in most industrial sectors, where it is part of the panoply of methods commonly implemented in the field of operational safety (reliability diagrams
[SE 4074]
, standard
CEI 61078
event trees
[SE 4050]
standard
CEI 62502
Markov graphs, norm
CEI 61165...
You do not have access to this resource.
Exclusive to subscribers. 97% yet to be discovered!
Already subscribed?
Log in!
KEYWORDS
Minimal cut sets
| Minimal tie sets
| Failure probability
Ongoing reading
Fault tree. Boolean context, analysis and mathematical bases