diff --git a/fmmd_data_model/fmmd_data_model.tex b/fmmd_data_model/fmmd_data_model.tex
index 4215aa2..7f936ed 100644
--- a/fmmd_data_model/fmmd_data_model.tex
+++ b/fmmd_data_model/fmmd_data_model.tex
@@ -9,7 +9,7 @@
 %% What I have done
 %%
 This paper presents a simple two level Failure Mode Modular De-Composition (FMMD)
-model of a theoretical System.
+model of a theoretical system.
 Firstly a UML model is presented and the class relationships described.
 Secondly the theoretical model is developed and analysed.
 This model is then represented as a Directed Acyclic Graph (DAG), 
@@ -39,7 +39,7 @@ if they have multiple causes.
 
 This chapter 
 presents a simple two stage FMMD % Failure Mode Modular De-Composition (FMMD)
-model of a theoretical System.
+model of a theoretical system.
 The Analysis model is then represented as a Directed Acyclic Graph (DAG), of the {\fg}s
 components and failure modes  represented in it.
 
@@ -71,7 +71,7 @@ We can start with some base components, of types C and K  say, $\{ C_1, C_2, C_3
 \input{./shortfm}
 
 
-\paragraph{Determing Failure Mode collections.}
+\paragraph{Determining Failure Mode collections.}
 Thus applying the function $fm$ to any of the components
 gives error modes identified by a or b.
 
@@ -109,18 +109,18 @@ the functional groups $FG^0_1$ and $FG^1_1$.
 Also note that the component type $K$ has been used by 
 two different functional groups.
 
-For the sake of example let our temperature environment 
+For the sake of example, let our temperature environment 
 for the SYSTEM be ${{0}\oc}$ to ${{125}\oc}$, but let the component
 type `K' have a de-graded performance failure mode between
 ${{80}\oc}$ and ${{125}\oc}$\footnote{ A real world example of
 degraded performace with temperature is the isolating opto coupler.
 These can typically only cope with lower baud rate ranges
 at high temperatures \cite{tlp181}.}. We can term this
-degraded performce of component `K' as failure mode `d'.
+degraded performance of component `K' as failure mode `d'.
 
 
 \paragraph{Symptom Extraction.}
-A processes of symptom extraction is now applied to the functional groups.
+A process of symptom extraction is now applied to the functional groups.
 Again for the sake of example, let us say that each functional
 group has one or two symptoms again subscripted by $a$ and $b$.
 
@@ -157,7 +157,7 @@ We must check this against all components used.
 For our example, we component `K' which has an extra 
 failure mode for degraded performance `d'. Thus applying the function $fm$ 
 to component type `K' under these temperature range conditions
-give the foillowing failure modes, $fm{K} =\{ K_a, K_b, K_d \}$.
+gives the following failure modes, $fm{K} =\{ K_a, K_b, K_d \}$.
 Were our system specified for a ${{0}\oc}$ to ${{80}\oc}$  range
 we could say $fm{K} =\{ K_a, K_b \}$.
 
@@ -179,7 +179,7 @@ We can call these failures modes `symptoms'.
 As this is a theoretical example, we shall have to skip this step\footnote{
 In a real analysis this would involve evaluating the effect of each components failure mode, (or combinations of)
 on the performance of the {\fg}.}.
-The next stage is to collect the common symptoms, or the symtoms that
+The next stage is to collect the common symptoms, or the symptoms that
 are the same {\em from the perspective of a user of the {\fg}}.
 We can define this stage as the function $\bowtie$ which has a set of failure modes as 
 its range and {\dc} as its domain.
@@ -203,7 +203,7 @@ as a directed acyclic graph (see figure \ref{fig:dag0}).
 We can now create a new {\dc}. This will have an $\alpha$ value higher
 than the any of the components in the {\fg} that it was derived from.
 In this case all components were base components and therefore have an $\alpha$ value of zero.
-Our derived component can thus take a n $\alpha$ value of one.
+Our derived component can thus take an $\alpha$ value of one.
 
 Our newly derived component can be 
 $$ DC^1_1 = \bowtie fm(FG^0_1) .$$
@@ -234,7 +234,7 @@ UML OBJECT MODEL OF  DERIVED COMPONENT TOO
 \subsection{Using Derived Components in Functional Groups}
 
 
-HERE should how the hierarchy is built, how the inheritance works etc
+HERE show how the hierarchy is built, how the inheritance works etc
 
 HAVE an example. totally theoretical. HAVE Common mode failure detection AND Common dependency detection
 
diff --git a/shortfm.tex b/shortfm.tex
index 2a20941..3580ea7 100644
--- a/shortfm.tex
+++ b/shortfm.tex
@@ -1,7 +1,7 @@
 \ifthenelse {\boolean{paper}}
 {
 \paragraph{Failure Mode function $fm$.}
-We can definine a `failure modes' function $fm$ that has a functional group as its range
+We can define a `failure modes' function $fm$ that has a functional group as its range
 and returns a set of failure modes as its domain.
 We now use this to determine the failure modes
 in our functional groups.