A certain type component has two states: 0=OFF and 1=OPERATING. In state 0, the process remains...

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