ToolKit Event Tree Module

Event Tree / Decision Tree analysis is used to determine the consequence of an initiating event and the expected frequency of each consequence. For example, a pipe breaking in a nuclear power station may have many consequences ranging from a very small release of radiation (no significance) up to a very large release of radiation (catastrophic). Event Trees model these initiators and consequences, and determine their frequencies.

Event Tree Diagram

Module features include:

Links with the Fault Tree module
Column links with the RBD and Markov modules
Full minimal cut set evaluation
Easy to use graphical interface
Plot F-N Curve graphs (frequency vs consequence)
Calculate Importance values
Features common to all modules

Binary Decision Diagram analysis technique (BDD) is also available. Click here for full details.

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