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@ -468,7 +468,9 @@ give the following failures in ${10}^6$ hours:
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While MIL-HDBK-217F gives MTTF for a wide range of common components,
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it does not specify how the components will fail (in this case OPEN or SHORT). {Some standards, notably EN298 only consider resistors failing in OPEN mode}.
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FMD-97 gives 27\% OPEN and 3\% SHORTED, for resistors under certain electrical and environmental stresses. This example
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%FMD-97 gives 27\% OPEN and 3\% SHORTED, for resistors under certain electrical and environmental stresses.
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% FMD-91 gives parameter change as a third failure mode, luvvverly 08FEB2011
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This example
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compromises and uses a 90:10 ratio, for resistor failure.
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Thus for this example resistors are expected to fail OPEN in 90\% of cases and SHORTED
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in the other 10\%.
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@ -292,18 +292,41 @@ assigned a probability $\beta$ factor by the design engineer. The use of a $\be
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is often justified using Bayes theorem \cite{probstat}.
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%Also, it can miss combinations of failure modes that will cause SYSTEM level errors.
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%
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\paragraph{FMECA `t' Value}
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The time that a system will be operating for, or the working life time of the product is
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represented by the variable $t$. for probability of failure on demand studies,
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this can be the number of operating cycles or demands expected.
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\paragraph{Severity `s' value}
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Component failure modes can cause failures that have levels of severity or seriousness.
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Typical classifications are as follows:~\cite{FMD-91}
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\begin{itemize}
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\item Category I - Catastrophic
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\item Category II - Critical
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\item Category III - Marginal
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\item Category IV - Minor.
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\end{itemize}
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Thus a component, because it may fail in different ways, may cause
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different severity SYSTEM level errors on failing.
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%I AM TOO TIRED
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%this is fucking torture
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\paragraph{Results of FMECA}
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The results of FMECA are similar to FMEA, in that component errors are
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listed according to importance, based on
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probability of occurrence and criticallity.
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% to prevent the SYSTEM fault of given criticallity.
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Again this essentially produces a prioritised `to~do~list'
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sorted by severity and liklihood.
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Each component failure mode has a criticallity number $C_m$, (where t is the operating time or product life time in hours), which can be calculated thus:
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sorted by severity and likelihood.
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A criticality number $C_m$,
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%(where t is the operating time or product life time in hours),
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which can be calculated for a given component failure mode $cfm$ for a given severity
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$s$ thus:
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\begin{equation}
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C_m = \beta \alpha {\lambda}_p t
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C_m(s) = cfm_{\beta} cfm_{\alpha} cfm_{{\lambda}_p} cfm_t \; where \; cfm\rightarrow severity = s \;.
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\end{equation}
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%%-WIKI- Failure mode, effects, and criticality analysis (FMECA) is an extension of failure mode and effects analysis (FMEA).
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@ -314,20 +337,22 @@ Each component failure mode has a criticallity number $C_m$, (where t is the ope
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%%-WIKI- FMECA tends to be preferred over FMEA in space and North Atlantic Treaty Organization (NATO) military applications,
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%%-WIKI- while various forms of FMEA predominate in other industries.
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A second result, representing the overall reliability and safety of the product $P$,
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, termed a criticallity number $C_r$
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(where we can consider $P$ to be a flat set of component failure modes
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which we can use the variable $c_f$ to represent
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A second result, representing the overall reliability and safety of a component or item\cite{FMD-91}[2-17] $C$,
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termed a criticallity number $C_r$ for the component.
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We can consider $C$ to be a flat set of component failure modes, using $cfm$ as a variable to represent them.
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% where $f \in F$)
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can calculated thus
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The $C_r$ value, for a given serverity $s$ is calculated thus
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\begin{equation}
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C_r = \sum_{c_f \in P} {\beta \alpha {\lambda}_p t} c_f
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C_r(s) = \sum_{cfm \in C} cfm_{\beta} cfm_{\alpha} cfm_{{\lambda}_p} cfm_t \; where \; cfm\rightarrow severity = s \;.
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\end{equation}
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\subsubsection{ FMECA weaknesses }
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\begin{itemize}
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\item Possibility to miss the effects of failure modes at SYSTEM level.
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\item Component failure modes are tied to one SYSTEM level error.
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\item The $\beta$ factor is based on heuristics and does not reflect any rigourous calculations.
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\item The $\alpha$ factor is based on heuristics or general data, and may not to specific to the environmental or operational conditions
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under which the equipment is operating.
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