Markov Modeling

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Markov modeling allows predicting the safe and dangerous behavior of complex systems. These systems can assume multiple internal detected and undetected failure states that do not immediately lead to a safety or dangerous system state. The Markov methodology models these states and the transition probability between the states. This allow to predict the probability of the entire system to be in safe or dangerous state as a function of time.

This method is recommended to determine the probability of failure on demand (PFD) or the probability of failure per hours to determine the IEC 61508 safety integrity level (SIL) of a system.

	Simple example of a model for a 1oo2 system in (HTML) or (PDF)
	Example of a complex protection system model in (HTML) or (PDF)

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