Introduction:

Event Tree Analysis (ETA) is a method that examines the consequences of a particular event. Starting from an initial event, the tree is divided into two branches, whereby the upper one represents a positive and the lower one a negative development (event trees are usually drawn from left to right). Repeated branching of the tree shows possible effects of an initial event on a system. The aim of ETA is the identification of possible damage events.

Event trees allow you to analyze the possible outcomes of an event occurring.The event tree model may be created independently of the fault tree model or may use fault tree analysis gate results as the source of event tree probabilities.

Key Features:

• Event Tree is included along the Fault Tree module.
• Full minimal cut set analysis. Success states are fully handled.
• Range of event failure and repair models including fixed rates, dormant, sequential, standby, time at risk, binomial, Poisson and initiator failure models
• Basic events may be linked to Markov models created in the Markov analysis module
• Comprehensive risk calculation.
• Risk importance analysis identifying the major contributors to risk
• Sensitivity analysis allowing the automatic variation of event failure and repair data between specified limits

Benefits:

• The event tree module handles both primary and secondary event trees, multiple branches and multiple consequence categories.
• Fault tree analysis gate results as the source of event tree probabilities can be used.
• Large and complex event tree can be easily evaluated.