Ondition monitoring and fault diagnosis

Dear writer 79549
I need to discuss and describe these figures and tables as I described in my paper that I published before (a?Feature Selection and Fault Classification of Reciprocating Compressors using a Genetic Algorithm and a Probabilistic Neural Network a?) which I have attached with this email BUT with more details as these following notes:
1) GA results varies with parameters: i.e. one graph show GA result in local minima when the crossover and mutation are small; one with two large cross over and mutation; and one with appreciate crossover and mutation, these will shows that GA need to be run a few times to find the results by observing the convergent characteristics, not too quick which goes to local minimum or too slow which makes it difficult to find the optimal solution. This means that the results need to show it fluctuate several generation and then goes to stable.

2) why:
these features are selected and how they can benefit to applications
what is the cause for not reaching full classification and what is the likely problems when this particular false classification may bring
3)Do not compare between the time and envelope now. Only the comparison will be between:
3.1(Features from the Time domain and GA-PNNs with Features from the time domain)

3.2(Features from the envelope analysis and GA-PNNs with Features from the envelope analysis)
We will compare between two techniques (1-Time domain and 2-envelope analysis) in the summary or conclusion in this chapter.
I will give you some details:
In my thesis I am using eight classes and each class represents case but in my paper that I published I used four classes. Also the data is different.
e.g.
Class 1 Healthy condition Or baseline
class2fault 1 discharge valve leakage
class3fault 2 suction valve leakage
class4fault 3 Intercooler leakage leakage
class5fault 4 Belt loosens
class6fault 5 Intercooler leakage leakage + discharge valve leakage
class7fault 6 Intercooler leakage leakage+ suction valve leakage
class8fault 7 suction valve leakage+ discharge valve leakage
In last chapter you did it for me there is some references very good it is nearly from my work you can understand and apply it for my work and it is important to tell
why:
these features are selected and how they can benefit to applications
what is the cause for not reaching full classification and what is the likely problems when this particular false classification may bring
NOTECES
The number of pages (TEXT) will be about 6 pages. We will divide them before and after figures and tables. If you think it need more just tell me and will discuss about it.
1-Do not write any theory because we already covered this part in the previous chapter.
2-When you write the pages do not count the figures and tables.
3-Always try to pointer or reference to the address or number of figures and tables.
4-You can add subtitle or amend any title that already I done it.
5-Also this part will revision with my supervisor.
Thank you very much
If you have any question please ask me.