Probabilistic Analysis of Fault Trees Using Pivotal Decomposition.

Abstract

In this thesis an algorithm is presented for computing the exact failure probability for binary systems represented as fault trees. This algorithm does not rely on cut sets. Instead, it applies recursive pivotal decomposition together with probabilistic structural reductions and modularization directly to the fault tree. A further capability of the algorithm is the sequential printing of equations to form a function for a specific fault tree which computes system failure probability given the basic event probabilities. Additional keywords: Numerical analysis; Computer programs; Reliability; Systems analysis. (Author)

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1985
Accession Number
ADA159856

Entities

People

  • W. T. Mccullers Iii

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Air Platforms
  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Algorithms
  • Computational Science
  • Computer Programming
  • Computer Programs
  • Computer Science
  • Computers
  • Decomposition
  • Equations
  • Fault Tree Analysis
  • Marine Corps
  • Numerical Integration
  • Operating Systems
  • Operations Research
  • Probability
  • Reliability
  • Schools
  • United States

Fields of Study

  • Engineering

Readers

  • Artificial Intelligence
  • Operations Research
  • Statistical inference.