## 5 Prediction and Analysis of Maximum Temperature Rise  
The rotor temperature-rise prediction of a large generator under asymmetric operating conditions is an important indicator of online monitoring and plays a vital role in evaluating and predicting the operating state of the entire power internet of things. To analyze such problems, the symmetrical component method is generally used to decompose the three-phase asymmetric current into three components: positive sequence, negative sequence, and zero sequence. Typically, the neutral point of the generator is not grounded or grounded through impedance, and the influence of zero-sequence current is minimal. Therefore, the influence of negative-sequence current on generator heating and temperature rise is mainly considered. The rotor slot wedge material has a great influence on the temperature-rise distribution. Even if the same type of generator uses different slot wedge materials, the resulting heat distribution is also different. In addition, the degree of asymmetry of the system, that is, the amplitude of negative-sequence current, also plays a decisive role in the distribution of the heating and burning points of the generator. Therefore, this paper adopts the prediction model of the ILoTFWA-CPPNN, takes a 300 MW generator in a power plant as the research object, calculates the maximum temperature rise caused by the negative-sequence current of different main structural components under different working conditions and different slot wedge materials, comprehensively monitors and predicts the overall operation state of the  
Figure 7: The 300 MW generator for negative-sequence experiment. \begin{table}
\begin{tabular}{c c c c c c c c c c c} \hline \hline \multirow{3}{*}{**No.**} & \multirow{3}{*}{**Measured Value**} & \multicolumn{3}{c}{**CPPNN**} & \multicolumn{3}{c}{**GA-CPPNN**} & \multicolumn{3}{c}{**PSO-CPPNN**} & \multicolumn{3}{c}{**FWA-CPPNN**} & \multicolumn{3}{c}{**ILoTFWA-CPPNN**} \\ \cline{3-11}  & & & **Relative Error** & **Value** & **Relative Error** & **Value** & **Relative Error** & **Value** & **Relative Error** & **Value** & **Relative Error** \\ \hline
1 & 30.4 & 31.9 & 4.9\% & 31.1 & 2.3\% & 31.6 & 3.9\% & 31.3 & 3.0\% & 30.9 & 1.6\% \\
2 & 28.6 & 29.3 & 2.4\% & 29.5 & 3.1\% & 29.4 & 2.8\% & 29.4 & 2.8\% & 29.1 & 1.7\% \\
3 & 32.2 & 33.6 & 4.3\% & 31.1 & 3.4\% & 32.9 & 2.2\% & 33.1 & 2.8\% & 32.9 & 2.2\% \\
4 & 28.3 & 29.4 & 3.9\% & 29.5 & 4.2\% & 29.3 & 3.5\% & 29.5 & 4.2\% & 29.0 & 2.5\% \\
5 & 29.7 & 31.2 & 5.1\% & 30.4 & 2.4\% & 30.6 & 3.0\% & 30.3 & 2.0\% & 30.4 & 2.4\% \\
6 & 22.0 & 23.6 & 7.3\% & 22.9 & 4.1\% & 22.7 & 3.2\% & 23.2 & 5.5\% & 22.5 & 2.3\% \\
7 & 38.1 & 40.9 & 7.3\% & 40.5 & 6.3\% & 40.8 & 7.1\% & 40.7 & 6.8\% & 40.2 & 5.5\% \\
8 & 24.5 & 25.8 & 5.3\% & 25.1 & 2.5\% & 25.2 & 2.9\% & 25.3 & 3.3\% & 25.3 & 3.2\% \\
9 & 35.4 & 37.1 & 4.8\% & 36.1 & 2.0\% & 36.8 & 4.0\% & 36.2 & 2.3\% & 36.2 & 2.3\% \\
10 & 30.7 & 31.8 & 3.6\% & 28.7 & 6.5\% & 31.4 & 2.3\% & 31.8 & 3.6\% & 31.3 & 2.0\% \\ \hline Average relative error & & 4.89 & & 3.68 & & 3.49 & & 3.63 & & 2.57 \\ Average number of iterations & & 4.7 & & 3.9 & & 3.8 & & 3.9 & & 3.2 \\ \hline \hline \end{tabular}
\end{table} 
Table 3: The temperature-rise prediction results of ILoTFWA-CPPNN and other CPPNN models. generator, and provides a reference for the management and regulation of the ubiquitous power internet of things. The rotor slot wedge is an important structural component that cannot be ignored in the design, manufacture, and actual operation of a generator. In order to prevent overheating and burn damage of the generator rotor during asymmetric operation, major motor plants have taken correspondingly different improvement measures for 300 MW generators. Practice has proven that the reasonable selection of the slot wedge plays a very obvious role in improving a large generator's ability to bear negative-sequence current. The eddy current path can be improved by installing copper conductors at the butt joint of slot wedges.