Added reasoning distance essay

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Robin Clark 2011-10-29 15:10:42 +01:00
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@ -74,7 +74,7 @@ We can now examine what effect each of these failures will have on the {\fg}.
\subsection{Analysing a potential divider in terms of failure modes}
\label{potdivfmmd}
\begin{figure}[h+]
\centering
\includegraphics[width=100pt,keepaspectratio=true]{./pd.png}
@ -553,4 +553,64 @@ power-supply (for instance these might, for the sake of example include: $NO\_P
Our logic circuit may be able to cope with $LOW\_VOLTAGE$ and $NOISE\_LF$, but react with a serious symptom to $NOISE\_HF$ say.
But in order to process these failure modes it must be at a higher stage in the FMMD hierarchy.
\pagebreak[4]
\section{Defining the concept of `reasoning distance' in FMEA}
%
% DOMAIN == INPUTS
% RANGE == OUTPUTS
%
When performing FMEA we have system under investigation, which will comprise of a collection of components which have associated failure modes.
The object of FMEA is to determine cause and effect: from the failure modes (the causes) to the effects (or symptoms of failure).
%
To perform FMEA rigorously
we could stipulate that every failure mode must be checked for effects
against all the components in the system.
We could term this `rigorous~FMEA'~(RFMEA).
The number of checks we have to make to achieve this gives an indication of the complexity of the task.
%
We could term this complexity a reasoning distance, as it is the sum of
all the paths between failure modes and components, necessary to achieve RFMEA.
% (except its self of course, that component is already considered to be in a failed state!).
%
Obviously, for a small number of components and failure modes we have a smaller number
of checks to make than for a complicated larger system.
%
We can consider the system as a large {\fg} of components.
We represent the number of components in the {\fg} by
$$ | fg | .$$
The function $fm$ has a component as its domain and the components failure modes as its range.
We can represent the number of failure modes in a component $c$, to be $$ | fm(c) | .$$
If we index all the components in the system under investigation $ c_1, c_2 \ldots c_{|fg|} $ we can express
the number of checks required to rigorously check every
failure mode against all the other components in the system.
We can define this as a function, $RD$, with its domain as the system or {\fg}, $fg$, and
its range as the number of checks to perform to satisfy a rigorous FMEA inspection.
\begin{equation}
\label{eqn:rd}
%$$
RD(fg) = \sum_{n=1}^{|fg|} |fm(c_n)|.(|fg|-1)
%$$
\end{equation}
This can be simplified if we can determine the total number of failure modes in the system $fT$, (i.e. $ fT = \sum_{n=1}^{|fg|} {|fm(c_n)|}$);
equation~\ref{eqn:rd} becomes $$ RD(fg) = fT.(|fg|-1).$$
\pagebreak[4]
\subsection{Reasoning Distance Examples}
The potential divider discussed in section~\ref{potdivfmmd} has a four failure modes and two components and therefore has an $RD$ of 4.
$$RD(potdiv) = \sum_{n=1}^{2} |2|.(|1|) = 4 $$
Were we to consider a $fictitious$ system with 81 components, with these components
having 3 failure modes each, we would have an $RD$ of
$$RD(fictitious) = \sum_{n=1}^{81} |3|.(|80|) = 19440 .$$
\end{document}