A certain type of component has two states: 0-OFF and 1-OPERATING. In state 0, the process remains there for a random length of time, which is exponentially distributed with parameter λ, and then moves to state 1. The time in state 1 is exponentially distributed with parameter μ, after which the process returns to state 0. The system has two of these components, A and B, with distinct parameters:
Component Operating Failure Rate Repair Rate
A λ μ
B λ μ
In order for the system to operate, at least one of components A and B must be operating (a parallel system). Assume that the component stochastic processes are independent of one another. Determine the long-run probability that the system is operating by considering each component separately as a two-state Markov chain and using their statistical independence.