Hazel proof read this for me
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@ -170,7 +170,7 @@ decide which interactions are important.
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Let N be the number of components in our system, and K be the average number of component failure modes
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Let N be the number of components in our system, and K be the average number of component failure modes
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(ways in which the component can fail). The total number of base component failure modes
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(ways in which the component can fail). The total number of base component failure modes
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is $N \times K$. To examine the affect that one failure mode has on all the other components
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is $N \times K$. To examine the effect that one failure mode has on all the other components
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will be $(N-1) \times N \times K$, in effect a set cross product.
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will be $(N-1) \times N \times K$, in effect a set cross product.
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@ -189,7 +189,7 @@ be typical of a very simple temperature controller, with a micro-controller sens
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we have $99 \times 100 \times 2.5 \times 10 = 247500 $.
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we have $99 \times 100 \times 2.5 \times 10 = 247500 $.
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To look in detail at a quarter of a million test cases is obviously impractical.
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To look in detail at a quarter of a million test cases is obviously impractical.
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If we were to consider multiple simultaneous failure modes
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If we were to consider multiple simultaneous failure modes,
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we have yet another complication cross product.
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we have yet another complication cross product.
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For instance for looking at double simultaneous failure modes,
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For instance for looking at double simultaneous failure modes,
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@ -495,7 +495,7 @@ and its international analog standard IOC5108.
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\item It should be re-usable, in that commonly used modules can be re-used in other designs/projects.
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\item It should be re-usable, in that commonly used modules can be re-used in other designs/projects.
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\item It should have a formal basis, that is to say, it should be able to produce mathematical proofs
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\item It should have a formal basis, that is to say, it should be able to produce mathematical proofs
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for its results, such as system level error causation trees, reliability and safety statistics.
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for its results, such as system level error causation trees, reliability and safety statistics.
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\item It should be easy to use, Ideally using a graphical syntax (as oppossed to a formal mathematical one).
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\item It should be easy to use, ideally using a graphical syntax (as oppossed to a formal mathematical one).
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\item From the top down, the failure mode model should follow a logical de-composition of the functionality
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\item From the top down, the failure mode model should follow a logical de-composition of the functionality
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to smaller and smaller functional modules \cite{maikowski}.
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to smaller and smaller functional modules \cite{maikowski}.
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\item Multiple failure modes may be modelled from the base component level up.
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\item Multiple failure modes may be modelled from the base component level up.
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@ -523,18 +523,19 @@ 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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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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further into the way the system works and is built.
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\paragraph{Design Decision: Methodology must be bottom-up.}
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In order to ensure that all component failure modes are handled,
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this methodology must start at the bottom, with base component failure modes.
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In this way automated checking can be applied to all component failure modes
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to ensure none have been inadvertently excluded from the process.
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\paragraph{Need for a `bottom-up' system de-composition}
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\paragraph{Need for a `bottom-up' system de-composition}
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There is an apparent conflict here. The natural way to
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There is an apparent conflict here. The natural way to
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de-compose a system is from the top down.
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de-compose a system is from the top down.
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If we do this though, we do not naturally include
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all failure modes in the modules determined as we
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de-compose downwards.
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What is required here is to mimic this top-down de-composition
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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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with a bottom up technique.
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By doing that, we can take all base component failure modes
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and ensure they are included in the model.
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By taking components that form {\fg}s from the bottom up
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By taking components that form {\fg}s from the bottom up
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and then taking those to form higher level
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and then taking those to form higher level
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@ -547,6 +548,11 @@ A second justification for this is that the design process for a product require
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thinking. To analyse a system from the bottom-up is a useful
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thinking. To analyse a system from the bottom-up is a useful
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design validatio process in itself \cite{sommerville}.
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design validatio process in itself \cite{sommerville}.
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\paragraph{Design Decision: Methodology must be bottom-up.}
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In order to ensure that all component failure modes are handled,
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this methodology must start at the bottom, with base component failure modes.
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In this way automated checking can be applied to all component failure modes
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to ensure none have been inadvertently excluded from the process.
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\paragraph{Problem with functional group hierarchy}
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\paragraph{Problem with functional group hierarchy}
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A hierarchy of functional grouping, leading to a system model
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A hierarchy of functional grouping, leading to a system model
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@ -568,10 +574,16 @@ For instance a failed resistor in a sensor at a base component level is a specif
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failure mode.
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failure mode.
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For example it could be called `RESISTOR 1 OPEN'.
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For example it could be called `RESISTOR 1 OPEN'.
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Its symptom in a functional group comprising the sensor channel that reads from it may be more abstract
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or in other words describe the effect more generally.
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We might call it `READING~HIGH' perhaps. At a higher level still
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Now consider the symptom in a functional group comprising the sensor channel that
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RESISTOR 1 is part of of `RESISTOR 1 OPEN'.
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We might call it `READING~HIGH' failure perhaps.
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The Fault has become less detailed and more general. There may be other
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causes for a `READING~HIGH'. We can say that the failure
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mode `READING~HIGH' is more abstract in terms of the STSEM, than `RESISTOR 1 OPEN'.
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At a higher level still
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this may be called `SENSOR CHANNEL 1' fault.
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this may be called `SENSOR CHANNEL 1' fault.
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At a system level it may simply be a `SENSOR FAILURE'.
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At a system level it may simply be a `SENSOR FAILURE'.
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As we traverse up the fault tree the failure modes
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As we traverse up the fault tree the failure modes
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@ -613,7 +625,7 @@ failure mode behaviour, but can check that all failure modes in
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the hierarchy have been considered and tied to causing symptoms.
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the hierarchy have been considered and tied to causing symptoms.
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\paragraph{Incremental Stages and \dcs}.
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\paragraph{Incremental Stages and \dcs .}
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We can use incremental stages to build the hierarchy.
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We can use incremental stages to build the hierarchy.
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We can take small {\fg}s of components, where the {\fg}
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We can take small {\fg}s of components, where the {\fg}
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is a small set of components that perform a simple
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is a small set of components that perform a simple
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@ -635,7 +647,7 @@ are the same failure w.r.t. the {\fg}.
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We can now treat the {\fg} as a component, and call it a {\dc}, in other words, a sub-system with a known set of failure modes.
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We can now treat the {\fg} as a component, and call it a {\dc}, in other words, a sub-system with a known set of failure modes.
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We can now create a new {\dc} and assign it these common symptoms
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We can now create a new/{\dc} and assign it these common symptoms
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as its failure modes.
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as its failure modes.
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This {\dc} can be used to build higher level
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This {\dc} can be used to build higher level
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@ -645,12 +657,38 @@ an entire system. It can be considered complete when
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all failure modes from all components are handled
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all failure modes from all components are handled
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and connectable to a SYSTEM level failure mode.
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and connectable to a SYSTEM level failure mode.
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\paragraph{Directed Acyclic Graph.} This will naturally form a DAG
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\paragraph{Directed Acyclic Graph (DAG).}
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meaning that for all SYSTEM failure modes, we will be able to trace
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The data structure produced from collecting functional groups
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back through the DAG to possible component failure mode causes.
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and deriving components will naturally form a DAG.
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To ensure this we will have to ensure that
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derived components cannot be included in {\fg}s
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of a lower abstraction level.
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By representing the failure mode model as a DAG, we
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now have the capability to take SYSTEM level failure modes
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and determine the possible combinations of component failure modes that
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could have caused it.
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In FTA terminology, a list of possible
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causes for a SYSTEM level failure is known as a minimal cut set \cite{nasafta}.
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If statistical models exist for the component failure modes
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If statistical models exist for the component failure modes
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these failure causation trees (or minimal cut sets \cite{nucfta})
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these failure causation trees (or minimal cut sets \cite{nucfta})
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can be used to calculate Mean Time to Failure (MTTF) or Probability of Failure on demand (PFD) figures.
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can be used to calculate Mean Time to Failure (MTTF) or Probability of Failure on demand (PFD) figures.
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Constract the analytical capability of this with the
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methodologies where the component failure modes are linked
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directly to SYSTEM failure modes with no analysis stages in between.
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\paragraph{Design Decision: A functional group cannot contain {\dc}s at a higher abstraction level than its self}
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We can implement this rule in two ways, firstly, by saying that any functional group
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will take the `abstraction level + 1' of all components it includes.
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Secondly we can say that no component may be derived from itself.
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\paragraph{Natural Reduction in number of failure modes with abstraction level}
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Because common symptoms are being collected, as we build the tree up-ward
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Because common symptoms are being collected, as we build the tree up-ward
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the number of failure modes decreases (or exceptionally stays the same) at each level.
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the number of failure modes decreases (or exceptionally stays the same) at each level.
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