Difference between revisions of "Aufgaben:Exercise 1.5Z: Probabilities of Default"
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$p_\text{T, max} \ = \ $ { 2 3% } $ \ \%$ | $p_\text{T, max} \ = \ $ { 2 3% } $ \ \%$ | ||
− | {Let the default probability of all components be $\underline{p_{\rm B} = 0.1}$. Let each sub-device consist of $n = 3$ components. <br>Calculate the probability $p_{\rm T}$ exactly that a | + | {Let the default probability of all components be $\underline{p_{\rm B} = 0.1}$. Let each sub-device consist of $n = 3$ components. <br>Calculate the probability $p_{\rm T}$ exactly that a sub-device defaults. |
|type="{}"} | |type="{}"} | ||
$p_{\rm T} \ = \ $ { 27.1 3% } $ \ \%$ | $p_{\rm T} \ = \ $ { 27.1 3% } $ \ \%$ | ||
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$p_{\rm T} \ = \ $ { 2.97 3% } $ \ \%$ | $p_{\rm T} \ = \ $ { 2.97 3% } $ \ \%$ | ||
− | {Now apply $p_{\rm B} = 0.4\%$ for the default probability of all components. What is the maximum number of components the sub-device can contain? $p_{\rm T} ≤ 2\%$ is to hold. | + | {Now apply $p_{\rm B} = 0.4\%$ for the default probability of all components. What is the maximum number of components the sub-device can contain? $p_{\rm T} ≤ 2\%$ is to hold. |
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$n \ = \ $ { 5 3% } | $n \ = \ $ { 5 3% } |
Revision as of 13:10, 1 December 2021
A sub-device is composed of the components $B_1, \ B_2,\ \text{...} \ , B_n$ where the respective functionality can be assumed to be independent of all other components.
- Assume that all components default with equal probability $p_{\rm B}$.
- Sub-device $T_1$ functions only if all $n$ components are functional.
To increase reliability, important assemblies are often duplicated. The overall device $G$ can be described in terms of set theory as follows:
- $$ G = T_1 \cup T_2.$$
This means: The overall device $G$ is already operational if at least one of the two identical sub-devices $(T_1$ or $T_2)$ is functional.
Hints:
- The exercise belongs to the chapter Statistical dependence and independence.
- The topic of this chapter is illustrated with examples in the (German language) learning video
- Statistische Abhängigkeit und Unabhängigkeit $\Rightarrow$ "Statistical dependence and independence".
- Explanations:
- Component (German: "Bauteil" ⇒ subscript "B")
- Sub-device (German: "Teilgerät" ⇒ subscript "T")
- Overall device (German: "Gesamtgerät" ⇒ subscript "G")
Questions
Solution
(1) Since the two subdevices default independently, set-theoretically holds:
- $$\rm Pr(\it G \rm \hspace{0.1cm}f\ddot{a}llt\hspace{0.1cm}aus) = Pr(\it T_{\rm 1}\rm \hspace{0.1cm} f\ddot{a}llt \hspace{0.1cm}aus) \cdot Pr(\it T_{\rm 2}\rm \hspace{0.1cm} f\ddot{a}llt \hspace{0.1cm}aus). $$
- Moreover, since subdevices $T_1$ and $T_2$ are identical in construction, they default with the same probability $p_{\rm T}$ . It follows that:
- $$p_{\rm G} = \it p_{\rm T}^{\rm 2} \hspace{0.5cm} \rm bzw. \hspace{0.5cm} \rm \it p_{\rm T,\hspace{0.1cm}max}= \sqrt{\it p_{\rm G}} \le \rm\sqrt{0.0004} \hspace{0.15cm}\underline {= 2\%}.$$
(2) This result is easier to determine using the complementary event:
- $$\rm Pr(\it T_{\rm 1}\hspace{0.1cm}\rm functions) = \rm Pr(\it B_{\rm 1} \hspace{0.1cm}\rm functions \cap \it B_{\rm 2} \hspace{0.1cm} \rm functions \cap \it B_{\rm 3}\hspace{0.1cm} \rm functions).$$
- $$\Rightarrow 1- p_{\rm T}= (1-p_{\rm A})^{3} \hspace{0.3cm} \Rightarrow \hspace{0.3cm} 1-p_{\rm T}=(0.9)^3= 0.729 \hspace{0.3cm} \Rightarrow \hspace{0.3cm} p_{\rm T}\hspace{0.15cm}\underline {= 0.271 = 27.1\%}.$$
(3) With $p_{\rm A} = 0.01$ , we obtain $p_{\rm T}\hspace{0.15cm}\underline {= 2.97\%}.$
- In general, the approximation is: $p_{\rm T} \approx n \cdot p_{\rm A}\; (= 3\%)$.
(4) With the approximation of the last subtaks $\underline{n = 5}$ follows directly.
- For larger $p_{\rm A}$ , one would have to proceed as follows:
- $$0.996^{\it n}\ge 0.98 \hspace{0.5cm} \rm\Rightarrow \hspace{0.5cm} \it n\le\rm\frac{log(0.98)}{log(0.996)} = 5.0406\hspace{0.15cm}\underline { \approx 5}.$$