Recording details for the Markov transition matrix
Record the probabilities to transition from one state to another and the weight assigned to each state to determine the health of the equipment. After the probability matrix is complete, click
, which starts the process that creates new curve points automatically based on Markov chains.A Markov chain is a stochastic model used to determine the likelihood that the equipment will be in a certain state or health after it has reached a certain state or health in a previous iteration of the chain. The changes to the state of the equipment are called transitions and the probabilities that the equipment moves from one state to another are called transition probabilities. The initial state of the equipment is assumed to be perfect health.
You can add zones to differentiate the deterioration of equipment for periods of time. For example, equipment may have one decay curve for five years but a different decay curve for the next five years.
To select the probabilities of transitioning to different states you must first select the Markov Chains check box on the Decay Curves screen and specify the Number of States.