## 6 Conclusions  
Firstly, in consideration of the development of power systems, this paper thoroughly analyzes the new problems and challenges faced by large power equipment and points out that intelligent computing is an effective method of solving such problems. The CPPNN prediction model was used to predict and evaluate the generator operation status and development trend from the perspective of negative-sequence temperature rise under asymmetric working conditions. Aiming at the limitations of the CPPNN model, the FWA was improved. The weights and thresholds of the neural network were optimized by the ILoTFWA, and the ILoTFWA-CPPNN algorithm model was proposed. After 24 standard test function simulation experiments and in-depth analysis and verification of 300 MW generator measured data, the effectiveness and accuracy of this method were fully confirmed. Secondly, the ILoTFWA-CPPNN model was adopted to analyze and calculate typical working conditions, such as different negative-sequence component proportions and different slot wedge materials. The maximum temperature rise caused by the negative-sequence current of each part of the rotor was calculated in detail when the negative-sequencecomponent changed from 1% to 10% and when the slot wedge material was aluminum, beryllium bronze, and aluminum bronze, respectively. The analysis of the calculation results shows that the rotor temperature-rise results are different when different slot wedge materials are used. The highest temperature rise occurred when aluminum bronze slot wedges were used, and the highest temperature rise under various negative-sequence proportions also occurred at this time. Additionally, the highest temperature-rise point appeared at the slot wedge on the polar surface of the rotor when the aluminum bronze slot wedge was used, and the temperature of the trunking near the big tooth was higher. When other slot wedge materials were replaced, the temperature rise of all parts of the rotor was greatly reduced. The lowest negative-sequence temperature rise in the whole rotor domain occurred when the rotor slot wedge was made of aluminum slot wedge material. Therefore, it is concluded that the slot wedge material has a great influence on rotor heating under different negative-sequence component proportions. Thirdly, according to the analysis and calculation results of the influence of different slot wedge materials on the loss and temperature rise of the generator rotor, the thermal conductivity, conductivity, eddy current density and other factors of the three most commonly used slot wedge materials were comprehensively considered and compared, and it is concluded that the best choice for a 300 MW steam turbine generator slot wedge material is to use a duralumin slot wedge, and a damping copper bar or copper alloy material can be considered for the rotor end and the slot wedge. This conclusion can provide a theoretical research basis for a turbo-generator with the same structure or similar rotor structure. At the same time, the ILoTFWA-CPPNN model proposed in this paper provides a feasible reference for the analysis of asymmetric working conditions of large power equipment. Conceptualization, [PERSON] and [PERSON]; methodology, [PERSON]; software, [PERSON]; validation, [PERSON] and [PERSON]; formal analysis, [PERSON]; investigation, [PERSON]; resources, [PERSON]; data curation, [PERSON]; writing--original draft preparation, [PERSON] and J.G. ; writing--review and editing, [PERSON] and [PERSON]; visualization, [PERSON]; supervision, [PERSON]; project administration, [PERSON]; funding acquisition, [PERSON] All authors have read and agreed to the published version of the manuscript. This research was funded by the Special Research Project of Basic Business in Colleges and Universities (Grant No. 145209147 and 135509212) and the Provincial Platform Opening Project (Grant No. WNCGQJKF202101) of Heilongjiang Province of China. Not applicable. The data presented in this study are available on request from the corresponding author.