Prediction model for stator core temperature of turbo generator based on FFCM-MHDA-iTransformer

侯一凡; 袁和金; 孙帆

doi:10.19666/j.rlfd.202503051

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Prediction model for stator core temperature of turbo generator based on FFCM-MHDA-iTransformer

更新时间：2026-01-21

- Prediction model for stator core temperature of turbo generator based on FFCM-MHDA-iTransformer
- Thermal Power Generation Vol. 54, Issue 12, Pages: 67-75(2025)
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- DOI：10.19666/j.rlfd.202503051
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- Published：2025
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侯一凡, 袁和金, 孙帆. Prediction model for stator core temperature of turbo generator based on FFCM-MHDA-iTransformer[J]. Thermal Power Generation, 2025, 54(12): 67-75.
DOI：

侯一凡, 袁和金, 孙帆. Prediction model for stator core temperature of turbo generator based on FFCM-MHDA-iTransformer[J]. Thermal Power Generation, 2025, 54(12): 67-75. DOI： 10.19666/j.rlfd.202503051.

摘要

发电机定子铁芯温度异常可能导致绝缘材料老化、绕组短路等严重问题，进而影响发电机的整体性能和寿命。提出一种基于FFCM-MHDA-iTransformer的汽轮发电机定子铁芯温度预测模型，充分利用改进的Transformer架构，即倒置Transformer(iTransformer)模型，使用倒置的时间序列编码方式，解决Transformer在处理多元变量相关性方面的局限；采用融合傅里叶卷积混合器（fused Fourier convolution mixer

FFCM）实现对时序数据的局部特征提取和增强；使用多头差分注意力机制（multi-head differential attention

MHDA）替换传统自注意力，有效消除注意力噪声，促使模型关注关键信息。经过训练和验证，与其他主流预测模型相比，该模型具有更高的预测精度，有助于及时发现潜在故障，避免停机检修，对保障汽轮发电机稳定运行具有重要应用价值，有效地提升了温度预测技术的准确性与实用性。

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