## 4 Experimental Results and Analysis
### Effectiveness of Online Fault Diagnosis
The proposed automatic diagnosis model will analyze the collected data and identify the new fault or any abnormality of the bearing if it exists. The newly detected fault mode may incorporate the database of the diagnosis model. The system may run up to a tolerant level of quality of bearing. \begin{table}
\begin{tabular}{c c c c c c c c c c} \hline \hline \multirow{2}{*}{**Datasets**} & \multicolumn{10}{c}{**Average Sensitivities Per Class with Standard Deviation**} \\ \cline{2-10}  & **Test Case** & \begin{tabular}{c} **System** \\ **Condition** \\ \end{tabular} & **FFB** & **BC1 3 mm** & **BCO 3 mm** & **BCR 3 mm** & **BC1 2 mm** & **BCO 12 mm** & **BCR 10 mm** & **Average** \\ \hline \hline \multirow{4}{*}{Dataset-10 300 RPM} & Case-1 & Before Update & 100.00 (0.0) & 100.00 (0.0) & & & & 100.00 \\ \cline{2-10}  & \multirow{2}{*}{Case-2} & Updated & 100.00 (0.0) & 100.00 (0.0) & & & & 100.00 \\ \cline{2-10}  & & Updated & 100.00 (0.0) & 100.00 (0.0) & & & & 100.00 \\ \cline{2-10}  & \multirow{2}{*}{Case-2} & Before Update & 90.45 (2.3) & 91.23 (2.1) & 65.45 (4.6) & 69.56 (4.3) & & & 79.17 \\ \cline{2-10}  & \multirow{2}{*}{Case-3} & Updated & 100.00 (0.0) & 94.25 (1.3) & 100.00 (0.0) & 100.00 (0.0) & & & 98.56 \\ \cline{2-10}  & \multirow{2}{*}{Case-3} & Before Update & 99.58 (0.7) & 94.36 (1.8) & 100.00 (0.0) & 100.00 (0.0) & & & 98.49 \\ \cline{2-10}  & \multirow{2}{*}{Case-4} & Updated & 100.00 (0.0) & 95.12 (1.1) & 100.00 (0.0) & 100.00 (0.0) & & & 98.78 \\ \cline{2-10}  & \multirow{2}{*}{Case-4} & Before Update & 93.67 (2.1) & 94.26 (1.9) & 90.23 (2.4) & 88.59 (3.9) & 73.62 (4.3) & & & 88.07 \\ \cline{2-10}  & \multirow{2}{*}{Case-4} & Updated & 100.00 (0.0) & 93.50 (1.4) & 100.00 (0.0) & 100.00 (0.0) & 100.00 (0.0) & & 98.70 \\ \cline{2-10}  & \multirow{2}{*}{Case-5} & Before Update & 96.56 (1.6) & 95.64 (1.7) & 91.56 (2.1) & 93.12 (1.8) & 98.26 (0.9) & 79.46 (4.1) & 82.69 (3.7) & 91.04 \\ \cline{2-10}  & \multirow{2}{*}{Case-1} & Updated & 100.00 (0.0) & 95.25 (1.6) & 100.00 (0.0) & 100.00 (0.0) & 100.00 (0.0) & 100.00 (0.0) & 99.32 \\ \hline \multirow{4}{*}{Dataset-2} & \multirow{2}{*}{Case-2} & Before Update & 100.00 (0.0) & 97.78 (1.1) & & & & 98.89 \\ \cline{2-10}  & \multirow{2}{*}{Case-1} & Updated & 100.00 (0.0) & 100.00 (0.0) & & & & 100.00 (0.0) & 100.00 (0.0) & 99.56 \\ \cline{2-10}  & \multirow{2}{*}{Case-2} & Updated & 100.00 (0.0) & 98.05 (2.1) & 100.00 (0.0) & 100.00 (0.0) & & & 98.07 \\ \cline{2-10}  & \multirow{2}{*}{Case-3} & Before Update & 100.00 (0.0) & 92.00 (1.5) & 100.00 (0.0) & 100.00 (0.0) & 100.00 (0.0) & & 98.00 \\ \cline{2-10}  & \multirow{2}{*}{Case-4} & Before Update & 93.42 (1.5) & 93.26 (1.6) & 91.86 (2.1) & 94.56 (1.3) & 89.00 (2.0) & & 92.42 \\ \cline{2-10}  & \multirow{2}{*}{\
\begin{tabular}{} \end{tabular} } & Updated & 100.00 (0.0) & 97.78 (0.9) & 100.00 (0.0) & 100.00 (0.0) & 100.00 (0.0) & & 99.56 \\ \hline \multirow{4}{*}{Case-5} & \multirow{2}{*}{Before Update} & 92.65 (1.4) & 94.00 (1.0) & 92.15 (1.8) & 94.22 (1.6) & 88.25 (2.5) & 82.22 (2.8) & 86.00 (2.4) & 89.93 \\ \cline{2-10}  & \multirow{2}{*}{
\begin{tabular}{} \end{tabular} } & Updated & 100.00 (0.0) & 98.00 (0.9) & 100.00 (0.0) & 100.00 (0.0) & 100.00 (0.0) & 100.00 (0.0) & 99.71 \\ \hline \hline \end{tabular}
\end{table} 
Table 4: Diagnosis performance of five successive test cases of datasets 1 to 5 in terms of average sensitivity per class.