added to introduction. Ill (bronchitis ~ off work ~ temperature)
but still need to finish the last example circuit for C Garret
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\begin{document}
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\begin{abstract}
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\pagenumbering{roman}
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Circuits from email conversation.
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Not a document to be proof read.
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@ -37,24 +38,53 @@ Proof of analysis concept.
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Function $fm$ applied to a component returns its failure modes.
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The circuits specified are not typical saftey critical circuitry which usually
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The circuits specified are not typical safety critical circuitry which usually
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has both redundancy and self~checking and/or diagnostic features build in.
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These are examples of the FMMD methodology being applied to some standard electronic circuits.
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\end{abstract}
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\maketitle
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\tableofcontents
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\listoffigures
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\listoftables
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\clearpage
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\clearpage \pagenumbering{arabic}
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\section{Basic Concepts Of FMMD}
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The idea behind FMMD is to modularise, from the bottom-up, traditional FMEA techniques.
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Traditional FMEA takes part failure modes and then determines what effect each of these
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failure modes could have on the system under investigation.
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It is worth defining clearly the term part here.
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Geoffry Hall writing in space Craft Systems Engineering~\cite{scse}[p.619], defines it thus:
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``{Part(definition)}---The Lowest level of assembly, beyond which further disassembly irrevocably destroys the item''.
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In the field of electronics a resistor, capacitor and op-amp would fit this definition of a `part'.
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Failure modes for part types can be found in the literature~\cite{fmd91}\cite{mil1991}.
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Traditional FMEA, by looking at `part' level failure modes
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involves what we could term a large `reasoning~distance'; that is to say
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in a complex system, taking a particular failure mode, of a particular part
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and then trying to predict the outcome in the context of an entire system, is
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a leap~of~faith. There will be numerous possibilities of effects and side effects on
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other components in the system; more than is practically possible to rigorously examine.
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To simply trace a simple route from a particular part failure mode to a top level system error/symptom
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oversimplifies the task of failure mode analysis, and makes the process arbitrary and error prone.
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Fortunately most real-world designs take a modular approach. In Electronics
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for instance, commonly used configurations of parts are used to create
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amplifiers, filters, potential dividers etc.
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It is therefore natural to collect parts to form functional groups.
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These commonly used configurations of parts, or {\fgs}, will
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also have failure mode behaviour. We can take a {\fg} and determine its symptoms of failure.
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When we have done this we can treat this as a component in its own right.
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If we terms `parts' as base~components and components we have determined
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from functional groups as derived components, we can modularise the FMEA task.
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If we start building {\fgs} from derived components we can start to build a modular
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hierarchical failure mode model.
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\paragraph {Definitions}
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\begin{itemize}
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\item {\bc} - a component with a known set of unitary state failure modes. Base here mean a starting or `bought~in' component.
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\item {\bc} - is taken to mean a `part' as defined above~\cite{scse}[p.619]. We should be able to define a set of failure modes for every {\bc}.
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\item {\fg} - a collection of components chosen to perform a particular task
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\item {\em symptom} - a failure mode of a functional group caused by one or more of its component failure modes.
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\item {\dc} - a new component derived from an analysed {\fg}
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@ -66,7 +96,6 @@ level up to the top, or system level, with analysis stages between each
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transition to a higher level in the hierarchy.
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The first stage is to choose
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{\bcs} that interact and naturally form {\fgs}. The initial {\fgs} are collections of base components.
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%These parts all have associated fault modes. A module is a set fault~modes.
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