In: Statistics and Probability
A system, which is composed of two components, will func- tion as long as at least one of the two components func- tions. When both components are operating, the lifetime distribution of each is exponential with mean 1. However, the distribution of the remaining lifetime of the good com- ponent, after one fails, is exponential mean 1 . (The idea 2 is that after one component fails the other component car- ries twice the load and hence has only half the expected life time.) Find the lifetime distribution of the system.
The lifetime distribution of each is exponential with mean 1. and the distribution of the remaining lifetime of the good component, after one fails, is exponential mean 1/2 .
Let X1 and X2 be the time till components 1 and 2 are working.
Let X be the time till both components are operating. Let Y be the time when only one component is working.
Then, X1 ~ Exp( = 1) and X2 ~ Exp( = 1)
X ~ min(X1, X2)
and Y ~ Exp( = 2) { = 1/mean = 1/(1/2) = 2}
The distribution of X is,
n(1 - F(x))n-1 f(x) where n = 2, F(x) = 1- exp(-x) and f(x) = exp(-x) as X1, X2 ~ Exp(1)
= 2 exp(-x) * exp(-x)
= 2 exp(-2x)
Thus, X ~ exp( = 2)
and Y ~ exp( = 2)
Now, lifetime distribution of the system is X + Y.
We know that sum of 'n' exponential distribution with same parameter follows Gamma distribution with parameters n and .
Thus, X + Y ~ Gamma(2, 2)