## 6 Results and Discussions
### Diagnosis of Combined Different BRB and ITSC Faults  
The test is performed to diagnose one BRB, two BRB, 2%, 5%, 7%, and 10% of ITSC faults in SC-IM under No load. The training data set is 1100 samples. The testing data set is 1100 samples. The training ANFIS output is presented in Figure 16. The solid line is the target value, '0' for healthy condition, '1' for one BRB, '2' for two BRB, '3' for 2% of ITSC, '4' for combined two BRB and 2% of ITSC, '5' for 5% of ITSC, '6' for combined two BRB and \begin{table}
\begin{tabular}{c c c} \hline \hline
**ITSC Faults** & **RMSE of Training** & **RMSE of Testing** \\ \hline
5\% & 2.8266 \(\times\) 10\({}^{-7}\) & 2.8266 \(\times\) 10\({}^{-7}\) \\
7\% & 4.2375 \(\times\) 10\({}^{-7}\) & 4.1999 \(\times\) 10\({}^{-7}\) \\
10\% & 2.3365 \(\times\) 10\({}^{-5}\) & 2.3143 \(\times\) 10\({}^{-5}\) \\ \hline \hline \end{tabular}
\end{table} 
Table 6: The ANFIS performance for diagnosis combined BRB and 5%, 7%, and 10% of ITSC faults. Figure 15: The Index of fault for combined BRB and ITSC faults: (**a**) Combined BRB, and 5% of ITSC faults; (**b**) Combined BRB, and 7% of ITSC faults; (**c**) Combined BRB, and 10% of ITSC faults. 5% of ITSC, '7' for 7% of ITSC, '8' for combined two BRB and 7% of ITSC, '10' for 10% of ITSC and '11' for combined two BRB and 10% of ITSC faulty conditions. The circle is the index of faults. The testing ANFIS output is \"0\" from 1101 to 1200 samples for a healthy condition, \"1\" from 1201 to 1300 samples for one BRB fault, \"2\" from 1301 to 1400 samples for two BRB faults, \"3\" from 1401 to 1500 samples for 2% of an ITSC fault, \"4\" from 1501 to 1600 samples for a combined two BRB and 2% of ITSC faults, \"5\" from 1601 to 1700 samples for 5% of an ITSC fault, \"6\" from 1701 to 1800 samples for a combined two BRB and 5% of ITSC faults, \"7\" from 1801 to 1900 samples for 7% of an ITSC fault, \"8\" from 1901 to 2000 samples for a combined two BRB and 7% of ITSC faults, \"10\" from 2001 to 2100 samples for 10% of an ITSC fault and \"11\" from 2101 to 2200 samples for a combined two BRB and 10% of ITSC faults as presented in Figure 17. It is observed that the testing error is small. The RMSE of ANFIS training is 4.2003 \(\times\) 10\({}^{-4}\) and the RMSE of ANFIS testing is 4.1605 \(\times\) 10\({}^{-4}\). It is observed that the performance of ANFIS based on DWT is very high. Hence, ANFIS based on DWT can correctly diagnose a combination of different BRB and ITSC faults. The FLC is implemented to diagnose a combination of different BRB faults and ITSC faults as given in Figure 18. The inputs connected to the multiport switch are _Iqd_h_ for a healthy motor, _Iqd_ubr1_ for one BRB fault, _Iqd_ubr2_ for two BRB faults, _Iqd_ush2_ for 2% of an ITSC fault, _Iqd_ubr2_sh2_ for a combined two BRB and 2% of ITSC faults, _Iqd_ush5_ for 5% of an ITSC fault, _Iqd_ubr2_sh5_ for a combined two BRB and 5% of ITSC faults, _Iqd_ush7_ for 7% of an ITSC fault, _Iqd_ubr2_sh7_ for a combined two BRB and 7% of ITSC faults, _Iqd_ush10_ for 10% of an ITSC and _Iqd_ubr2_sh10_ for a combined two BRB and 10% of ITSC faults. The duration time of the FLC model operating process is 0.1 s. The sample time in the port index is adjusted to 0.0091 s for each input to the multiport switch. Figure 16: The training ANFIS output for combining different BRB and ITSC faults. Figure 17: The testing ANFIS output for combining different BRB and ITSC faults. The index of faults started in a healthy way with 11,363 samples for healthy. After 0.0091 s, 11,363 samples for one BRB fault are selected. After 0.0091 s, 11,363 samples for two BRB faults are selected. After 0.0091 s, 11,363 samples for the 2% of an ITSC fault are selected. After 0.0091 s, 11,363 samples for a combined two BRB and 2% of ITSC faults are selected. After 0.0091 s, 11,363 samples for the 5% of an ITSC fault are selected. After 0.0091 s, 11,363 samples for a combined two BRB and 5% of an ITSC fault are selected. After 0.0091 s, 11,363 samples for the 7% of ITSC faults are selected.