4 RESULT
20
4.1 Introduction of Result 20
4.2 Description of Neural Cluster Tool
20 4.2.1 Working procedure Comparison 1 to 1
20 transformer data set
4.2.2 Working procedure Comparison multi 26
transformer data set 4.3
Descriptions of Self Organizing Map tool 30
4.3.1 Working procedure with variation of 30
neurons size 4.4
Summary of Result 42
5 ANALYSIS AND DISCUSSION
43
5.1 Introduction of Analysis and Discussion
43
5.2 Neural Cluster Tool Analysis and Discussion
43 5.3
Self Organizing Map SOM tool 46
5.4 Verify the result with new data set
51 5.5
Summary of Analysis and Discussion 53
5.5.1 Flow of using Neural Cluster Tool 53
5.5.2 Flow of using Self Organizing Map Tool 54
6 CONCLUSION AND RECOMMENDATION
55
6.0 Conclusion
55 6.1
Project Contribution 56
6.2 Recommendation for Future Work 56
REFERENCES 57
APPENDIX A 58
LIST OF TABLES
TABLE TITLE
PAGE
Table 2.1 Data SFRA from transformers
4 Table 3.1
Transformers detail 10
Table 3.2 Numerical Parameter Results using CCF Parameter
11 Table 3.3
Result from comparing 50 to 150 neurons 18
Table 4.1 Summary of result
42 Table 5.1
Data with their representative 48
Table 5.2 Frequency application from SFRA
49 Table 5.3
Result from SOM tool 50
Table 5.4 New data set for verification result
51 Table 6.1
The specification of SFRA transformer according their 55
frequency band
LIST OF FIGURE
TABLE TITLE
PAGE
Figure 2.1 Result from SOM.
5 Figure 2.2
Results from SOM. 5
Figure 2.3 Hexagonal lattices.
6 Figure 3.1
Flow chart of the methodology. 9
Figure 3.2 Comparison betweenH1H2 Phase and H2H3 Phase of PPU
12 Kelibang T2 Transformer HV Winding Comparison
Figure 3.3 The result from comparison between one on one transformer.
14 Figure 3.4
The result from comparison multiple of transformers. 15
Figure 3.5 The result from 50 to 150 neurons use for generate topographic 16
map. Figure 3.6
NCtool topographic map result. 17
Figure 3.7 SOM toolbox topographic map result.
17 Figure 3.8
Result from new data set. 19
Figure 4.1 Neighbor weight distance.
21 Figure 4.2
Input plane. 22
Figure 4.3 Neighbor weight distance
22 Figure 4.4
Input plane. 23
Figure 4.5 Neighbor weight distance.
23 Figure 4.6
Input plane. 24
Figure 4.7 Neighbor weight distance.
24 Figure 4.8
Input plane. 25
Figure 4.9 Neighbor weight distance.
25 Figure 4.10 Input plane.
26
Figure 4.11 Neighbor weight distance. 27
FIGURE TITLE
PAGE
Figure 4.12 Input plane. 27
Figure 4.13 Neighbor weight distance. 28
Figure 4.14 Input plane. 28
Figure 4.15 Neighbor weight distance. 29
Figure 4.16 Input plane. 29
Figure 4.17 Neighbor weight distance. 30
Figure 4.18 Topology map result. 31
Figure 4.19 Topology of HV and LV. 32
Figure 4.20 Topology map result. 32
Figure 4.21 Topology map of HV and LV. 33
Figure 4.22 Topology map result. 33
Figure 4.23 Topology map of HV and LV. 34
Figure 4.24 Topology map result. 34
Figure 4.25 Topology map of HV and LV. 35
Figure 4.26 Topology map result. 35
Figure 4.27 Topology map of HV and LV. 36
Figure 4.28 Topology map result. 36
Figure 4.29 Topology map of HV and LV. 37
Figure 4.30 Topology map result. 37
Figure 4.31 Topology map of HV and LV. 38
Figure 4.32 Topology map result. 38
Figure 4.33 Topology map of HV and LV. 39
Figure 4.34 Topology map result. 39
Figure 4.35 Topology map of HV and LV 40
Figure 4.36 Topology map result. 40
Figure 4.37 Topology maps of HV and LV. 41
Figure 4.38 Topology map result. 41
Figure 4.39 Topology map of HV and LV. 42
Figure 5.1 NCtool topology map.
43
FIGURE TITLE
PAGE
Figure 5.2 Topology map of input.
44 Figure 5.3
Comparison between t2 and t3 45
Figure 5.4 Comparison between t3 and t4
46 Figure 5.5
A represent 50 size neurons and B represent 47
150 size neurons. Figure 5.6
Transformer connections. 49
Figure 5.7 New output result.
52 Figure 5.8
Flow of Neural Cluster tool to train the data. 53
Figure 5.9 Flow of result using variable neurons.
54
LIST OF APPENDIX
APPENDIX TITLE
PAGE A
List of data set using M file 58
B Command from Matlab
60
CHAPTER 1
INTRODUCTION
1.1 General Background
