describing motivation for cardinality constrained powerset
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@ -309,10 +309,11 @@ It is an implied requirement of EN298 for instance to consider double simultaneo
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To generalise, we may need to consider $N$ simultaneous
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failure modes when analysing a functional group. This involves finding
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all combinations of failures modes of size $N$ and less.
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The Powerset concept from Set theory when applied to a set S is the set of all subsets of S, including the empty set and S itself.
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The Powerset concept from Set theory when applied to a set S is the set of all subsets of S, including the empty set and S itself
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\footnote{The empty set is a special case for FMMD analysis, it simply means there
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is no fault active in the functional~group under analysis}.
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In order to consider combinations for the set S where the number of elements in each sub-set of S is $N$ or less, a concept of the `cardinality constrained powerset'
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is proposed and described in the next section. The empty set is a special case for FMMD analysis, it simply means there
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is no fault active in the functional~group under analysis.
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is proposed and described in the next section.
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\subsection{Cardinality Constrained Powerset }
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\label{ccp}
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@ -320,11 +321,16 @@ is no fault active in the functional~group under analysis.
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A Cardinality Constrained powerset is one where sub-sets of a cardinality greater than a threshold
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are not included. This theshold is called the cardinality constraint.
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To indicate this the cardinality constraint $cc$, is subscripted to the powerset symbol thus $\mathcal{P}_{cc}$.
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Consider the set $S = \{a,b,c\}$. $\mathcal{P}_{2} S $ means all subsets of S where the cardinality of the subsets is
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less than or equal to 2 or less.
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Consider the set $S = \{a,b,c\}$.
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The powerset of S:
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$$ \mathcal{P} S = \{ 0, \{a,b,c\}, \{a,b\},\{b,c\},\{c,a\},\{a\},\{b\},\{c\} \} $$
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$\mathcal{P}_{2} S $ means all subsets of S where the cardinality of the subsets is
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less than or equal to 2 or less.
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$$ \mathcal{P}_{2} S = \{ \{a,b\},\{b,c\},\{c,a\},\{a\},\{b\},\{c\} \} $$
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Note that $\mathcal{P}_{1} S $ for this example is:
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@ -352,11 +358,12 @@ from $1$ to $cc$ thus
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\begin{equation}
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\#\mathcal{P}_{cc} S = \sum^{k}_{1..cc} \frac{\#S!}{k!(\#S-k)!}
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\label{eqn:ccps}
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\end{equation}
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\subsection{Actual Number of combinations to check with Unitary State Fault mode sets}
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\subsection{Actual Number of combinations to check \\ with Unitary State Fault mode sets}
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Where all components analysed only have one fault mode, the cardinality constrained powerset
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calculation give the correct number of test case combinations to check.
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@ -367,29 +374,53 @@ be less.
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What must actually be done is to subtract the number of component `internal combinations'
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from the cardinality constrain powerset number.
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Thus were we to have a simple circuit with two components R and T, of which
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$FM(R) = {R_o, R_s}$ and $FM(T) = {T_o, T_s, T_h}$.
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Thus were we to have a simple functional group with two components R and T, of which
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$$FM(R) = \{R_o, R_s\}$$ and $$FM(T) = \{T_o, T_s, T_h\}$$.
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For a cardinality constrained powerset of 2, because there are 5 error modes
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gives
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applying equation \ref{eqn:ccps} gives :-
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$$\frac{5!}{1!(5-1)!} + \frac{5!}{2!(5-2)!} = 15$$
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This is composed of
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5 single fault modes, and ${2 \choose 5}$ ten double fault modes.
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This is composed of ${1 \choose 5}$
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five single fault modes, and ${2 \choose 5}$ ten double fault modes.
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However we know that the faults are mutually exclusive for a component.
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We must then subtract the number of `internal' component fault combinations.
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We must then subtract the number of `internal' component fault combinations for each component in the functional~group.
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For component R there is only one internal component fault that cannot exist
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$R_o \wedge R_s$. As a combination ${2 \choose 2} = 1$ . For $T$ the component with
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three fault modes ${2 \choose 3} = 3$.
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Thus for $cc == 2$ we must subtract $(3+1)$.
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The number of combinations to check is thus 11 for this example and this can be verified
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by listing all the required combinations:
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Written as a general formula, where C is a set of the components (indexed by j where J
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is the set of componets in the functional~group under analyis) and $\#C$
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\vbox{
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%\tiny
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\begin{enumerate}
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\item $\{R_o T_o\}$
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\item $\{R_o T_s\}$
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\item $\{R_o T_h\}$
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\item $\{R_s T_o\}$
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\item $\{R_s T_s\}$
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\item $\{R_s T_h\}$
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\item $\{R_o \}$
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\item $\{R_s \}$
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\item $\{T_o \}$
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\item $\{T_s \}$
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\item $\{T_h \}$
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\end{enumerate}
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%\normalsize
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}
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The cardinality constrained powerset equation \ref{eqn:ccps} corrected for
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unitary state failure modes can be
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written as a general formula, where C is a set of the components (indexed by j where J
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is the set of components in the functional~group under analyis) and $\#C$
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indicates the number of mutually exclusive fault modes each component has:-
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%$$ \#\mathcal{P}_{cc} S = \sum^{k}_{1..cc} \frac{\#S!}{k!(\#S-k)!} $$
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\begin{equation}
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\#\mathcal{P}_{cc} S = {\sum^{k}_{1..cc} \frac{\#S!}{k!(\#S-k)!}} - {\sum^{j}_{j \in J} {\#C_{j} \choose cc}}
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\label{eqn:correctedccps}
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\end{equation}
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@ -416,7 +447,7 @@ $$ F = \Omega(C) \backslash OK $$
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The $OK$ statistical case is the largest in probability, and is therefore
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of interest when analysing systems from a statistical perspective.
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This is of interest to conditional probability calculations
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This is of interest for the application of conditional probability calculations
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such as Bayes theorem.
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\vspace{40pt}
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