A computation method for evaluating importance-measures of gates in a fault tree

Hae Sang Lee; Chang Hoon Lie; Jung Sik Hong

doi:10.1109/24.664007

A computation method for evaluating importance-measures of gates in a fault tree

Hae Sang Lee, Chang Hoon Lie, Jung Sik Hong

Dept. of Industrial Engineering

Research output: Contribution to journal › Article › peer-review

12 Scopus citations

Abstract

Summary & Conclusions -This paper extends the Birnbaum importance measure for a basic-event level to a gate-event level in a fault tree when statistical dependency between gate events exists. An explicit formula is given for gate reliability importance (GRInip), and show how it can compute GR-Imp by using a conventional fault-tree algorithm. The computational algorithm for GRImp is given along with numerical results for illustrative examples.

Original language	English
Pages (from-to)	360-365
Number of pages	6
Journal	IEEE Transactions on Reliability
Volume	46
Issue number	3
DOIs	https://doi.org/10.1109/24.664007
State	Published - 1997

Keywords

Dependency between gate events
Fault tree
Gate reliability importance
Replicated basic event

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10.1109/24.664007

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title = "A computation method for evaluating importance-measures of gates in a fault tree",

abstract = "Summary \& Conclusions -This paper extends the Birnbaum importance measure for a basic-event level to a gate-event level in a fault tree when statistical dependency between gate events exists. An explicit formula is given for gate reliability importance (GRInip), and show how it can compute GR-Imp by using a conventional fault-tree algorithm. The computational algorithm for GRImp is given along with numerical results for illustrative examples.",

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AU - Lie, Chang Hoon

AU - Hong, Jung Sik

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N2 - Summary & Conclusions -This paper extends the Birnbaum importance measure for a basic-event level to a gate-event level in a fault tree when statistical dependency between gate events exists. An explicit formula is given for gate reliability importance (GRInip), and show how it can compute GR-Imp by using a conventional fault-tree algorithm. The computational algorithm for GRImp is given along with numerical results for illustrative examples.

AB - Summary & Conclusions -This paper extends the Birnbaum importance measure for a basic-event level to a gate-event level in a fault tree when statistical dependency between gate events exists. An explicit formula is given for gate reliability importance (GRInip), and show how it can compute GR-Imp by using a conventional fault-tree algorithm. The computational algorithm for GRImp is given along with numerical results for illustrative examples.

KW - Dependency between gate events

KW - Fault tree

KW - Gate reliability importance

KW - Replicated basic event

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DO - 10.1109/24.664007

M3 - Article

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EP - 365

JO - IEEE Transactions on Reliability

JF - IEEE Transactions on Reliability

IS - 3

ER -

A computation method for evaluating importance-measures of gates in a fault tree

Abstract

Keywords

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