System Reliability — Series & Parallel
System Reliability — Series & Parallel
Reliability is the probability that a system performs its intended function under specified conditions for a given time period.
All components must work. If components have reliabilities $R_1, R_2, \ldots, R_n$:
$$R_{\text{series}} = R_1 \times R_2 \times \cdots \times R_n = \prod_{i=1}^{n} R_i$$
At least one component must work:
$$R_{\text{parallel}} = 1 - \prod_{i=1}^{n}(1 - R_i)$$
$$R(t) = e^{-\lambda t}$$
where $\lambda$ = failure rate (failures/hr). Mean Time Between Failures: $MTBF = 1/\lambda$.
Three components in series have reliabilities 0.95, 0.90, and 0.99. Find system reliability.
$$R = 0.95 \times 0.90 \times 0.99 = 0.846$$
Two identical components ($R = 0.90$) in parallel. Find system reliability.
$$R = 1 - (1 - 0.90)^2 = 1 - 0.01 = 0.99$$
Redundancy dramatically improves reliability.
A component has $\lambda = 0.001$ failures/hr. Find $R(100)$ and MTBF.
$R(100) = e^{-0.001 \times 100} = e^{-0.1} = 0.905$
$MTBF = 1/0.001 = 1{,}000$ hrs
Practice Problems
Show Answer Key
1. $R = 0.98^5 = 0.904$
2. $R = 1 - (0.15)^3 = 1 - 0.003375 = 0.9966$
3. Each path: $0.9 \times 0.9 = 0.81$. Parallel: $1 - (0.19)^2 = 0.9639$
4. $R(500) = e^{-0.25} = 0.779$; MTBF $= 2{,}000$ hrs
5. $\lambda = 1/5000 = 0.0002$; $R(1000) = e^{-0.2} = 0.819$
6. $e^{-100\lambda} \ge 0.99$; $\lambda \le -\ln(0.99)/100 = 0.01005/100 = 1.005 \times 10^{-4}$/hr
7. From $0.9$ to $1 - 0.01 = 0.99$; improvement of $0.09$ (10% increase in reliability)
8. $A = 500/505 = 0.9901 = 99.01\%$
9. $R = \binom{3}{2}(0.95)^2(0.05) + \binom{3}{3}(0.95)^3 = 3(0.9025)(0.05) + 0.857 = 0.1354 + 0.8574 = 0.9928$
10. $R = 0.999^{100} = e^{100 \ln 0.999} = e^{-0.1} = 0.905$
11. $\lambda_{\text{sys}} = 0.01$/hr; MTBF $= 100$ hrs
12. $R = 0.9 + 0.1(0.9) = 0.99$