I want to use the jSmile-API in my own program in order to do a failure anaylsis for modern mechatronic systems.
I will have to represent two kinds of nodes. The first kind of nodes will be exponential or weibull distributed. The second kind will represent
logical gates (OR,AND).
I would like to know the probability of the different nodes for each time step.
So I think that it would be the best to model my scenario with a dynamic bayesian network.
I found out, that I have to use the temporal plate to model dynamic networks. But I did not find a way to use the step counter of the temporal plate as a parameter of a
equation node in order to compute the exponential or weibull distribution. So my question is how do I model a node with dynamic probability distribution in a dynamic network.
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