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Download fileTo identify the smallest fault tree sections which contain dependencies.
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posted on 2008-09-19, 12:52 authored by H. Sun, J.D. AndrewsSince the early 1960’s fault tree analysis has become the most frequently used technique to
quantify the likelihood of a particular system failure mode. One of the underlying
assumptions which justifies this approach is that the basic events are independent. However,
many systems feature component failure events for which the assumption of independence is
not valid. For example, standby dependency, maintenance dependency or sequential
dependency can be encountered in engineering systems. In such situations, Markov analysis
is required during the quantification process.
Since the efficiency of the Markov analysis largely depends on the size of the established
Markov model, it is most effective to apply the Markov method only to the smallest possible
fault tree sections containing dependencies. The remainder of the system assessment can be
performed by the application of the conventional assessment techniques. The key of this
approach is to extract from the fault tree the smallest sections which contain dependencies.
This paper gives a brief introduction on some main existing dependency types and provides a
method aimed at establishing the smallest Markov model for the dependencies contained
within the fault tree.
History
School
- Aeronautical, Automotive, Chemical and Materials Engineering
Department
- Aeronautical and Automotive Engineering
Citation
SUN, H. and ANDREWS, J.D., 2005. To identify the smallest fault tree sections which contain dependencies. IN: Proceedings of the 16th Advances in Reliability Technology Symposium (ARTS) , Loughborough, UK, 2005, pp. 359-378.Publisher
© Loughborough UniversityPublication date
2005Notes
This is a conference paper.Language
- en