## 3 Results and Discussion
### UV Emission Area Parameters in Representing the Sporadic Discharge Phenomena  
The results of the UV emission area calculation and the UV count extraction for R phase suspension strings at the GIS area are shown in Figure 5. The graphs of UV count and UV emission area (in pixels and percentage units) had a similar trend. The high values were  
\begin{table}
\begin{tabular}{c c c c c} \hline \hline
**File Name** & **Zoom** & **Did UV Apper27** &
\begin{tabular}{c} **Was UV Connected between** \\ **Cup-and-Pin Insulators?** \\ \end{tabular} & **Cond. Level** & **Sample of Frame** \\ \hline
06\_19\_22\_02\_30 & 1\(\times\) & Yes & No & 2 \\
06\_20\_04\_29\_06 & 1\(\times\) & Yes & No & 2 \\
06\_21\_22\_15\_15 & 0.5\(\times\) & No & No & 1 \\
06\_22\_04\_18\_12 & 1\(\times\) & Yes & No & 2 \\
07\_06\_21\_03\_29 & 1\(\times\) & Yes & No & 2 \\ \hline \hline \end{tabular}
\end{table}
Table 4: Visual-based assessment results for T phase suspension string at the GT area.  
\begin{table}
\begin{tabular}{c c c c c} \hline \hline
**Location** & **String Type** & \multicolumn{3}{c}{**Total of String for Each Condition Level**} \\ \cline{3-5}  & **Level 1** & **Level 2** & **Level 3** \\ \hline GIS & R phase suspension & 0 & 2 & 5 \\ GIS & S phase suspension & 0 & 0 & 8 \\ GIS & T phase suspension & 0 & 0 & 6 \\ GIS & R phase tension & 0 & 3 & 1 \\ GIS & S phase tension & 0 & 3 & 1 \\ GIS & T phase tension & 0 & 3 & 1 \\ GT & R phase tension & 0 & 9 & 0 \\ GT & S phase tension & 1 & 3 & 0 \\ GT & T phase tension & 1 & 4 & 0 \\ \hline \hline \end{tabular}
\end{table}
Table 5: Visual-based assessment results for all insulator strings at the GIS and GT areas.  
found on the section close to the energized terminal, while the low values were found on the section close to the grounded terminal. In other words, the graphs had a downward trend from the energized terminal to the grounded terminal.  
The UV emission area values obtained from the utilization of image processing on the UV video had very high fluctuations. It proved that this indirect quantization method was able to provide results with satisfactory accuracy as the sporadic nature of discharge could be represented by the fluctuation rate of the UV emission area. On the other hand, the changes in the UV count value were not as fast as the UV emission area values, so the graph of the UV count values looked like a bar curve. It was because the UV count values took time to update the value according to the integration and averaging modes which were carried out directly by the camera.  
The UV count value changed in several frames, so the UV count value appearing at time t was the calculation result involving frames appearing before t. The UV emission value changed in each frame, so the UV emission value appearing at time t was the calculation result of the frame appearing at time t. In other words, the UV emission value could be directly correlated with its frame at the same time. The graph of UV count values lagged behind the graph of the UV emission area. With the UV emission advantages, the average UV emission in a video was proven to be properly used as input data for the regression model made. This result was also supported by research [20].