A Method of Analysis of Fault Trees with Time Dependencies

Safety is one of the biggest concerns in the design of computer-aided control systems. In order to make the system as safe as possible a number of analysis techniques has been developed. One of them is Fault Tree Analysis. Fault tree (FT) represents causal and generalization relations between events...

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description Safety is one of the biggest concerns in the design of computer-aided control systems. In order to make the system as safe as possible a number of analysis techniques has been developed. One of them is Fault Tree Analysis. Fault tree (FT) represents causal and generalization relations between events (e.g. between hazard and its causes). However, original FT cannot express either time relations between events or times of: detection of a danger situation and protection. A new method based on systems of inequalities and equalities for analysis of FTs with time dependencies is proposed in the paper. The method can be used for analysis of protections too. FT analysis and modelling of protection using systems of inequalities and equalities will be illustrated by an example. Formal models of FT gates used in the paper have the same expressive power as Timed Petri Net (TPN) models of FT gates from the paper [5]. However, present analysis method has greater decision power than classic TPN analysis method because the present method can be applied for much greater FTs. Additionally, the present approach results in more clear final conclusions.
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identifier ISSN: 0302-9743
ispartof Computer Safety, Reliability and Security, 2000, Vol.1943, p.176-186
issn 0302-9743
1611-3349
language eng
recordid cdi_pascalfrancis_primary_780391
source Springer Books
subjects Applied sciences
Computer science
control theory
systems
Computer systems performance. Reliability
Control system analysis
Control theory. Systems
Exact sciences and technology
Fault Tree
Protection
Safety-Critical System
Software
Time Dependency
Time Petri Net
title A Method of Analysis of Fault Trees with Time Dependencies
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