nr compiles as thesis now
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@ -75,6 +75,8 @@ Assume resistors not from same batch.
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Show how parameter change is cancelled out, use sum of squares statistics
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Show how parameter change is cancelled out, use sum of squares statistics
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to show by how much.
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to show by how much.
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\ifthenelse {\boolean{paper}}
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{
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\begin{figure}
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\begin{figure}
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\begin{tikzpicture}[line width=1pt]
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\begin{tikzpicture}[line width=1pt]
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\draw (0,0) -- ++(0,1cm);
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\draw (0,0) -- ++(0,1cm);
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@ -118,3 +120,7 @@ to show by how much.
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\end{tikzpicture}
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\end{tikzpicture}
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\caption{A `network resistor'}
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\caption{A `network resistor'}
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\end{figure}
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\end{figure}
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}
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{
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electComp not in main thesis director yet
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}
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@ -266,6 +266,8 @@ of corrective action.
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\item Possibility to miss the effects of failure modes at SYSTEM level.
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\item Possibility to miss the effects of failure modes at SYSTEM level.
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\item Possibility to miss environmental effects.
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\item Possibility to miss environmental effects.
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\item No possibility to model base component level double failure modes.
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\item No possibility to model base component level double failure modes.
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\item Does not model component failure modes
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that may cause more than one type of SYSTEM failure.
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\end{itemize}
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\end{itemize}
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\paragraph{Note.} FMEA is sometimes used in its literal sense, that is to say
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\paragraph{Note.} FMEA is sometimes used in its literal sense, that is to say
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@ -383,6 +385,8 @@ The $C_r$ value, for a given serverity $s$ is calculated thus
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under which the equipment is operating.
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under which the equipment is operating.
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\item Possibility to miss environmental affects.
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\item Possibility to miss environmental affects.
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\item No possibility to model base component level double failure modes.
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\item No possibility to model base component level double failure modes.
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\item As with all failure mode methodologies based on FMEA, does not model component failure modes
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that may cause more than one type of SYSTEM failure.
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\end{itemize}
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\end{itemize}
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@ -495,10 +499,11 @@ $\lambda_{SD}$, $\lambda_{SU}$, $\lambda_{DD}$, $\lambda_{DU}$).
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These new failures are added to the model.
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These new failures are added to the model.
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%SD, SU, DD, DU.
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%SD, SU, DD, DU.
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\glossary{name={SD},description={Safe Detected; a SYSTEM level failure mode that is considered safe, and is detected by self checking mechanisms}}
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\glossary{name={SU},description={Safe Undetected; a SYSTEM level failure mode that is considered safe, and is not detected by self checking mechanisms}}
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\glossary{name={SU},description={Safe Undetected; a SYSTEM level failure mode that is considered safe, and is not detected by self checking mechanisms. See FMEDA~\cite{en61508}}}
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\glossary{name={DD},description={Dangerous Detected; a SYSTEM level failure mode that is considered dangerous, and is detected by self checking mechanisms}}
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\glossary{name={SD},description={Safe Detected; a SYSTEM level failure mode that is considered safe, and is detected by self checking mechanisms. See FMEDA~\cite{en61508}}}
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\glossary{name={DU},description={Dangerous Undetected; a SYSTEM level failure mode that is considered dangerous, and is not detected by self checking mechanisms}}
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\glossary{name={DD},description={Dangerous Detected; a SYSTEM level failure mode that is considered dangerous, and is detected by self checking mechanisms. See FMEDA~\cite{en61508}}}
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\glossary{name={DU},description={Dangerous Undetected; a SYSTEM level failure mode that is considered dangerous, and is not detected by self checking mechanisms. See FMEDA~\cite{en61508}}}
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With these classifications, and statistics for each component
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With these classifications, and statistics for each component
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we can now calculate statistics for the diagnostic coverage (how good at `self checking' the system is)
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we can now calculate statistics for the diagnostic coverage (how good at `self checking' the system is)
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@ -590,14 +595,12 @@ With one component failure mode per row,
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all the statistical factors for SIL rating can be produced\footnote{A SIL rating will apply
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all the statistical factors for SIL rating can be produced\footnote{A SIL rating will apply
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to an installed plant, i.e. a complete installed and working SYSTEM. SIL ratings for individual components or
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to an installed plant, i.e. a complete installed and working SYSTEM. SIL ratings for individual components or
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sub-systems are meaningless, and the nearest equivalent would be the FIT/PFD and SFF and diagnostic coverage figures.}.
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sub-systems are meaningless, and the nearest equivalent would be the FIT/PFD and SFF and diagnostic coverage figures.}.
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\glossary{name={FIT}, description={Failure in Time (FIT). The number of times a particular failure is expected to occur in a $10^{9}$ hour time period.}}
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\glossary{name={FIT}, description={Failure in Time (FIT). The number of times a particular failure is expected to occur in a $10^{9}$ hour time period.}}
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\subsubsection{FMEDA and failure outcome prediction accuracy.}
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\subsubsection{FMEDA and failure outcome prediction accuracy.}
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FMEDA suffers from the same problems of
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FMEDA suffers from the same problems of
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lack of component failure mode outcome prediction accuracy, as FMEA in section \ref{pfmea}.
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lack of component failure mode outcome prediction accuracy, as FMEA in section \ref{pfmea}.
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@ -651,6 +654,8 @@ and its international analog standard IOC5108.
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\item Statistical nature allows a proportion of undetected failures for given S.I.L. level.
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\item Statistical nature allows a proportion of undetected failures for given S.I.L. level.
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\item Allows a small proportion of `undetectable' error conditions.
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\item Allows a small proportion of `undetectable' error conditions.
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\item No possibility to model base component level double failure modes.
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\item No possibility to model base component level double failure modes.
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\item As with all failure mode methodologies based on FMEA, does not model component failure modes
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that may cause more than one type of SYSTEM failure.
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\end{itemize}
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\end{itemize}
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%AND then how we can solve all there problems
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%AND then how we can solve all there problems
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