Published 1989 | Version v1
Book

Stochastic reliability analysis

Creators

  • 1. Siemens Ag (KWU), Offenbach (Germany, F.R.)

Description

It is well known that the so-called independent failure analysis can produce meaningless results for redundancy structures. Apart from exhausting possibilities of modelling e.g., shared components explicitly, to date the preferred solution to overcome this drawback is to apply parametric common cause failure (CCF) models. Recently an alternative class of approaches has been proposed. This type of stochastic approach allows to elicit definitions, concepts and models of conventional CCF analysis. This paper reviews the generalized binomial distribution model for the reliability analysis of redundancy structures. Furthermore, procedures for data evaluation in order to determine the parameters of this approach are proposed

Additional details

Additional titles

Subtitle (English)
The interface for component data evaluation

Publishing Information

Publisher
American Association for Structural Mechanics in Reactor Technology.
Imprint Place
Los Angeles, CA (USA)
ISBN
0-9623306-0-4
Imprint Title
Transactions of the 10th international conference on structual mechanics in reactor technology
Imprint Pagination
199 p.
Series
Volume P. Probabilistic safety assessment.
Journal Page Range
p. 25-30.

Conference

Title
10. international conference on Structural Mechanics in Reactor Technology (SMIRT).
Dates
14-18 Aug 1989.
Place
Anaheim, CA (USA).

INIS

Country of Publication
United States
Country of Input or Organization
United States
INIS RN
21068068
Subject category
S22: GENERAL STUDIES OF NUCLEAR REACTORS; S99: GENERAL AND MISCELLANEOUS;
Resource subtype / Literary indicator
Conference
Descriptors DEI
ALGORITHMS; FAULT TREE ANALYSIS; MULTI-PARAMETER ANALYSIS; REACTOR COMPONENTS; RELIABILITY; STOCHASTIC PROCESSES
Descriptors DEC
SYSTEM FAILURE ANALYSIS; SYSTEMS ANALYSIS

Optional Information

Secondary number(s)
CONF-890855--.