get the grammar and speeling off mum this morning
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@ -76,7 +76,7 @@ structure with its associated failure modes.
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From this diagram we see that each component must have at least one failure mode.
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Also to clearly show that the failure modes are unique events associated with one component,
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each failure mode being referenced back to only one component.
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each failure mode is referenced back to only one component.
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This modelling constraint is due to the fact that even generic components with the same
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failure mode types, may have different statistical MTTF properties within the same
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circuitry\footnote{For example, consider resistors one of high resistance and one low.
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@ -110,6 +110,10 @@ parts~numbers\footnote{It is common practise for sub assemblies, PCB's, mechanic
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software modules and some collections of components to have part numbers}, and will
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not require a vendor reference, but must be named.
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We can term `modularising a system', to mean recursively breaking it into smaller sections for analysis.
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When modularising a system from the top~down, as in Fault Tree Analysis (FTA)
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it is common to term the modules identified as sub-systems.
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When building from the bottom up, it is more meaningful to term the `sub-systems' as `derived~components'.
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%%
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@ -378,7 +382,7 @@ and S itself.
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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.
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\pagebreak[1]
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%\pagebreak[1]
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\subsection{Cardinality Constrained Powerset }
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\label{ccp}
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@ -486,6 +490,7 @@ $$
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$$
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\pagebreak[1]
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\subsubsection{Establishing Formulae for unitary state failure mode \\
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cardinality calculation}
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@ -531,7 +536,7 @@ By knowing how many test cases should be covered, and checking the cardinality
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associated with the test cases, complete coverage would be verified.
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\pagebreak[4]
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\pagebreak[1]
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\section{Component Failure Modes and Statistical Sample Space}
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%\paragraph{NOT WRITTEN YET PLEASE IGNORE}
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A sample space is defined as the set of all possible outcomes.
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