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@ -9,7 +9,7 @@ creating failure mode models of safety critical systems, which
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has a common and integrateable notation
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for mechanical, electronic and software domains.
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In addition, the methodology address the traditional weaknesses of
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Fault Tree Analysis (FTA), Fault Mode Effects Analysis (FMEA)
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Fault Tree Analysis (FTA), Fault Mode Effects Analysis (FMEA), Faliue Mode Effects Criticallity Analysis (FMECA)
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and Failure Mode Effects and Diagnostic Analysis (FMEDA).
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The proposed methodology is bottom-up and
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modular.}
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@ -39,12 +39,15 @@ of analysis.
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The FMMD
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methodology presented here provides a more detailed and analytical
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modelling system which will create a more complete and detail hierarchical failure mode model from which
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the data models from FTA, FMEA and the statistical approach can be
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the data models from FTA, FMEA, FMECA and FMEDA (the statistical approach) can be
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derived if required.
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It also applies rigorous checking in the analysis stages
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ensuring that all component failure modes must be considered in the model.
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FMMD
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%
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This methodology has been named Failure Mode Modular De-composition (FMMD)
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because it de-composes a SYSTEM into a hierarchy of modules or {\dc}s.
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This
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\ifthenelse {\boolean{paper}}
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{
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paper
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@ -52,15 +55,17 @@ paper
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{
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chapter
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}
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presents a bottom up modular methodology, a extension and refinement to the FMEA, where instead of looking
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at individual component failure modes and deciding on their impact on the SYSTEM
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it uses the component failure modes, to build modules or derived components,
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using incremental steps to build a hierarchical model.
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presents the design considerations that determined
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the FMMD methodology.
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FMMD is an incremental bottom up FMEA process.
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It first beiefly reviews the four traditional
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static failure mode analysis methodologies and
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lists their known weaknesses. A wish list is then drawn up
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addressing these weaknesses and adding some extra requirements.
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Using this wish list the phiosophy for the new methodology
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is built up.
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%
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This methodology has been named Failure Mode Modular De-composition (FMMD)
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because it de-composes a SYSTEM into a hierarchy of modules or {\dc}s.
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%
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It does this by working from the bottom up, taking small groups
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FMMD works by working from the bottom up, taking small groups
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of components, {\fgs}, and then analysing how they can fail.
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This analysis is performed using FMEA from a micro rather than a macro perspective.
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Thus instead of looking at a component failure modes, and determining how
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@ -273,6 +278,25 @@ In order to ensure that all component failure modes have been covered
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the methodology will have to work from the bottom-up
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and start with the component failure modes.
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%
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\paragraph{Natural Fault Finding is top down}
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The traditional fault finding, or natual fault finding
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is to work form the top down. On encountering a
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fault the symptom is first klnow at the top or
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SYSTEM level. By de-composing the functionality of the faulty system and testing
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we can further de-compose the system until we find the
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faulty base level component.
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De-composition of electrical circuits is formalised and explored
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in \cite{maikowski}. This top down technique de-composes by functionality.
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Simpler and simpler functional blocks are discovered as we delve
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further into the way the system works and is built.
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What is required here is to mimic this top-down de-composition
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with a bottom up technique.
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By taking components that form {\fg}s form the nottom up
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and then taking those to form higher level
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{\fg}s we can mimic the analysis process from the bottom up.
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\paragraph{How to build a SYSTEM failure behaviour model}
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The next problem is how to we build a failure mode model
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that converges to a finite set of SYSTEM level failure modes.
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