Comparison of two new approaches to variable ordering for binary decision diagrams

Quality and Reliability Engineering International

Volumn 17, Issue 3, 2001, Pages 151-158

  Bartlett, L M ^a   Andrews, J D ^a  

^a LOUGHBOROUGH UNIVERSITY   (United Kingdom)

Author keywords

Binary decision diagrams; Fault tree analysis; Neural networks; Structural importance; Variable orderings

Indexed keywords

DECISION THEORY; GRAPH THEORY; HEURISTIC METHODS; NEURAL NETWORKS; PATTERN RECOGNITION;

BINARY DECISION DIAGRAMS; SAFETY SYSTEM ANALYSIS; VARIABLE ORDERING PROBLEM;

FAULT TREE ANALYSIS;

EID: 0035329289     PISSN: 07488017     EISSN: None     Source Type: Journal    
DOI: 10.1002/qre.406     Document Type: Article

References (11)

1. A time dependent methodology for fault tree evaluation
2. Binary decision diagrams
3. New algorithms for fault tree analysis
4. Quantitative fault tree analysis using binary decision diagrams
5. A brief introduction to binary decision diagrams
6. Fault tree analysis and binary decision diagrams
7. New approaches to evaluating fault trees
8. Computation of prime implicants of a fault tree within Aralia
9. Efficient basic event orderings for binary decision diagrams
10. Measures of importance of events and cuts sets in fault trees
11. Efficient basic event ordering schemes for fault tree analysis