prinout-red pen-edit
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@ -14,12 +14,16 @@ and then formulae are presented for calculating the
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complexity of applying FMEA to a group of components.
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%
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These formulae are then used for a hypothetical example, which is analysed by both FMEA and FMMD.
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After analysing hypothetical examples, the FMMD examples from chapter~\ref{sec:chap5} are
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compared against RFMEA.
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%
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Following on from the formal definitions, `unitary state failure modes' are defined. In short these
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ensure that component failure modes are mutually exclusive. % Using the unitary state failure mode definition
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%
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Standard formulae for combinations are then used to develop the concept of
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the cardinality constrained power-set. Using this in combination with unitary state failure modes
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we can establish an expression for calculated the number of failure scenarios to
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the cardinality constrained power-set.
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Using this in combination with unitary state failure modes
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we can establish an expression for calculating the number of failure scenarios to
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check for in double failure analysis.
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%
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% MOVE TO CH5 FMMD makes the claim that it can perform double simultaneous failure mode analysis without an undue
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@ -28,8 +32,8 @@ check for in double failure analysis.
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% MOVE TO CH5 temperature measurement sensor circuit. This example is also used to show how component failure rate statistics can be
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% MOVE TO CH5 used with FMMD.
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%
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This is followed by some critiques i.e. possible areas of difficulty when performing FMMD, and then
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a general evaluation. % comparing it with traditional FMEA.
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This is followed by some critiques of FMMD. % in use.%i.e. possible areas of difficulty when performing FMMD, and then
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%a general evaluation. % comparing it with traditional FMEA.
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%
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% Moving Pt100 to metrics
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@ -200,12 +204,13 @@ An FMMD Hierarchy will have reducing numbers of {\fgs} as we progress up the hie
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In order to calculate its comparison~complexity we need to apply equation~\ref{eqn:CC} to
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all {\fgs} on each level.
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We can define an FMMD hierarchy as a set of {\fgs}, $\hh$.
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We define a helper function $g$ with a domain of the level $Level$ in an FMMD hierarchy $\hh$, and a
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co-domain of a set of {\fgs} (specifically all the {\fgs} on the given level),
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that returns
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the sum of all complexity comparison
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applied to {\fgs} at a particular hierarchy level in \hh,
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% We define a helper function $g$ with a domain of the level $Level$ in an FMMD hierarchy $\hh$, and a
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% co-domain of a set of {\fgs} (specifically all the {\fgs} on the given level),
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% that returns
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% the sum of all complexity comparison
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% applied to {\fgs} at a particular hierarchy level in \hh,
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We define a helper function, g, that applies $CC$ to all {\fgs} at a particular level, $\xi$ in an FMMD hierarchy {\hh}
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and returns the sum of the comparison complexities,
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\begin{equation}
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g: \hh \times \mathbb{N} \rightarrow \mathbb{N} .
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\end{equation}
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@ -384,7 +389,7 @@ $$
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$$
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%\clearpage
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\subsection{Complexity Comparison applied to previous FMMD Examples}
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\subsection{Complexity Comparison applied to FMMD electroinc circuits analysed in chapter~\ref{sec:chap5}.}
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All the FMMD examples in chapters \ref{sec:chap5}
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and \ref{sec:chap6} showed a marked reduction in comparison
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@ -460,7 +465,9 @@ are presented in table~\ref{tbl:firstcc}.
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\end{table}
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% end table
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The complexity comparison figures for the example circuits in chapter~\ref{sec:chap5} show
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that for increasing complexity the performance benefits from FMMD are apparent.
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that for the non trival examples, as we
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use more levels in the FMMD hierarchy, the performance
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gains over RFMEA become apparent. %for increasing complexity the performance benefits from FMMD are apparent.
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@ -481,7 +488,7 @@ We use these two analyses to compare the effect on comparison complexity (see ta
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\hline
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\textbf{Hierarchy} & \textbf{Derived} & \textbf{Complexity} & $|fm(c)|$: \textbf{number} \\
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\textbf{Level} & \textbf{Component} & \textbf{Comparison} & \textbf{of derived} \\
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& & & \textbf{failure modes} OK \\
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& & & \textbf{failure modes} \\
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%\hline \hline
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%\multicolumn{3}{ |c| }{Complexity Comparison against RFMEA for examples in Chapter~\ref{sec:chap5}} \\
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%\hline \hline
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@ -555,7 +562,7 @@ by more than a factor of ten.
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\hline
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\textbf{Hierarchy} & \textbf{Derived} & \textbf{Complexity} & $|fm(c)|$: \textbf{number} \\
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\textbf{Level} & \textbf{Component} & \textbf{Comparison} & \textbf{of derived} \\
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& & & \textbf{failure modes} OK \\
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& & & \textbf{failure modes} \\
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%\hline \hline
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%\multicolumn{3}{ |c| }{Complexity Comparison against RFMEA for examples in Chapter~\ref{sec:chap5}} \\
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%\hline \hline
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@ -730,7 +737,7 @@ but potentially
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$2^N$.
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%
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This would make the job of analysing the failure modes
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in a {\fg} impractical due to the sheer size of the task.
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in a {\fg} impractical due to state explosion. %the sheer size of the task.
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%Note that the `unitary state' conditions apply to failure modes within a component.
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%%- Need some refs here because that is the way gastec treat the ADC on microcontroller on the servos
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@ -1095,19 +1102,19 @@ to the probability that a given part failure mode will cause a given system leve
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Another way to view this is to consider the failure modes of a
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component, with the $OK$ state, as a universal set $\Omega$, where
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all sets within $\Omega$ are partitioned.
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Figure \ref{fig:partitioncfm} shows a partitioned set representing
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component failure modes $\{ B_1 ... B_8, OK \}$: partitioned sets
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Figure \ref{fig:combco} shows a partitioned set representing
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component failure modes $\{ B_1 ... B_3, OK \}$: partitioned sets
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where the OK or empty set condition is included, obey unitary state conditions.
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Because the subsets of $\Omega$ are partitioned, we can say these
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failure modes are unitary state.
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\begin{figure}[h]
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\centering
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\includegraphics[width=350pt,keepaspectratio=true]{./CH4_FMMD/partitioncfm.png}
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% partition.png: 510x264 pixel, 72dpi, 17.99x9.31 cm, bb=0 0 510 264
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\caption{Base Component Failure Modes with OK mode as partitioned set}
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\label{fig:partitioncfm}
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\end{figure}
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%
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% \begin{figure}[h]
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% \centering
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% \includegraphics[width=350pt,keepaspectratio=true]{./CH4_FMMD/partitioncfm.png}
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% % partition.png: 510x264 pixel, 72dpi, 17.99x9.31 cm, bb=0 0 510 264
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% \caption{Base Component Failure Modes with OK mode as partitioned set}
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% \label{fig:partitioncfm}
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% \end{figure}
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\section{Components with Independent failure modes}
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