How to use Markov in a FaultTree+ or RBD model

Although a description of Markov can be a bit confusing, we will be using a simple schematic and model to show how and where a Markov model should be used in a FTA or RBD. Markov analysis provides a method for modeling systems that have complex inter-dependencies that are beyond the capabilities of standard analytical methods. For instance, strong dependencies between components such as cold or warm standby, limited repair crews, or fixed spare part replenishment intervals all present challenges to traditional methods, but can easily be modelled in Markov.

The Markov module provides a visual interface to construct the state transition diagram representing the system, then uses numerical integration to solve the problem. It also handles phasing and non-constant failure rates.

The models created in the Markov analysis module may be linked to basic events in the fault tree and event tree analysis modules. The following recorded webinar will introduce this idea: