Title :
Decomposition Methods for Fault Tree Analysis
Author :
Rosenthal, Arnon
Author_Institution :
Department of Computer and Communications Sciences; University of Michigan; Ann Arbor, Michigan 48109 USA.
fDate :
6/1/1980 12:00:00 AM
Abstract :
Some kinds of fault tree analysis are described for which cut set enumeration is inadequate. Modularization leads to more efficient computer programs, and also identifies subsystems which are intuitively meaningful. The problem of finding all modules of a fault tree is formulated as as extension of the problem of finding all ``cut-points´´ of an undirected graph. The major result is a FORTRAN program (available as a Supplement) which can find modules of a 1000-event fault tree in a small fraction of a second. A generalized module is defined.
Keywords :
Fault diagnosis; Fault trees; Monitoring; Polynomials; Probability; Programming profession; Redundancy; Reliability theory; Sensitivity analysis; Testing; Decomposition; Fault-tree analysis; Module;
Journal_Title :
Reliability, IEEE Transactions on
DOI :
10.1109/TR.1980.5220753