纸质出版:2025
移动端阅览
侯一凡, 袁和金, 孙帆. 基于FFCM-MHDA-iTransformer的汽轮发电机定子铁芯温度预测模型[J]. 热力发电, 2025,54(12):67-75.
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.
侯一凡, 袁和金, 孙帆. 基于FFCM-MHDA-iTransformer的汽轮发电机定子铁芯温度预测模型[J]. 热力发电, 2025,54(12):67-75. DOI: 10.19666/j.rlfd.202503051.
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.
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。
杨贤东,袁旭峰,熊炜,等.考虑源荷不确定性的风光火储系统低碳经济调度[J].智慧电力, 2022, 50(8):22-29.YANG Xiandong, YUAN Xufeng, XIONG Wei, et al.Low-carbon economic dispatch of wind-solar-firedstorage system considering source-load uncertainty[J].Smart Power, 2022, 50(8):22-29.
张智刚,康重庆.碳中和目标下构建新型电力系统的挑战与展望[J].中国电机工程学报, 2022, 42(8):2806-2819.ZHANG Zhigang, KANG Chongqing. Challenges and prospects for constructing the new-type power system towards a carbon neutrality future[J]. Proceedings of the CSEE, 2022, 42(8):2806-2819.
苏鹏,王文君,杨光,等.提升火电机组灵活性改造技术方案研究[J].中国电力, 2018, 51(5):87-94.SU Peng, WANG Wenjun, YANG Guang, et al. Research on the technology to improve the flexibility of thermal power plants[J]. Electric Power, 2018, 51(5):87-94.
杜小泽,张璇,庞力平,等.燃煤发电机组灵活调峰下机炉安全状态监测与调控研究综述[J].中国电机工程学报, 2024, 44(18):7178-7200.DU Xiaoze, ZHANG Xuan, PANG Liping, et al. Review on the monitoring and regulation of boiler and turbine safety states in coal-fired power generation units under flexible peak shaving[J]. Proceedings of the CSEE, 2024,44(18):7178-7200.
刘祝鸿.汽轮发电机定子铁心损耗及温升试验案例分析[J].机电信息, 2016(18):22-23.LIU Zhuhong. Case analysis on stator core loss and temperature rise test of turbo-generator[J]. Mechanical and Electrical Information, 2016(18):22-23.
KANG J B, LEE J Y, NGUYEN T, et al. Effects of material deformation due to aging of electrical steel on the brushless wound-field synchronous generator[J].Electronics, 2023, 12:2279.
武钰.定子匝间短路故障下发电机损耗特性分析[D].北京:华北电力大学, 2022:1-10.WU Yu. Analysis of generator loss characteristics under stator interturn short circuit[D]. Beijing:North China Electric Power University, 2022:1-10.
王芳,高斯博,汤文侠,等.大型水氢氢冷却汽轮发电机定子温度分布[J].哈尔滨理工大学学报, 2015,20(1):26-30.WANG Fang, GAO Sibo, TANG Wenxia, et al.Temperature distribution of large water-hydrogenhydrogen cooled turbo-generator stator[J]. Journal of Harbin University of Science and Technology, 2015,20(1):26-30.
胡磊. 1 100 MW级核电水氢氢汽轮发电机定子铁心温度场研究[J].电机技术, 2019(5):10-16.HU Lei. Research on temperature field of stator core of1 100 MW nuclear water-hydrogen-hydrogen turbine generator[J]. Electrical Machine Technology, 2019(5):10-16.
CAI Y P, CEN Y F, CEN G, et al. Temperature prediction of PMSMs using pseudo-siamese nested LSTM[J]. World Electric Vehicle Journal, 2021, 12:57.
常玉红,吴月超,何铮,等.基于MIC-TCN-Attention的抽水蓄能机组发电电动机定子温度预警方法研究[J].中国农村水利水电, 2021(7):125-131.CHANG Yuhong, WU Yuechao, HE Zheng, et al.Research on the generator stator temperature early warning method of pumped storage unit based on MICTCN-Attention[J]. China Rural Water and Hydropower,2021(7):125-131.
姚驰宇,桂晶,李泼,等.基于Transformer语义迁移的定子热故障诊断[J].电气技术, 2025, 26(3):59-64.YAO Chiyu, GUI Jing, LI Po, et al. Transformer-based semantic transfer for stator thermal fault diagnosis[J].Electrical Engineering, 2025, 26(3):59-64.
温建民,何斌,王开康,等.基于LSTM神经网络的地铁变压器绕组温度预测[J].都市快轨交通, 2023,36(3):77-81.WEN Jianmin, HE Bin, WANG Kaikang, et al.Temperature prediction of subway transformer windings based on LSTM[J]. Urban Rapid Rail Transit, 2023, 36(3):77-81.
LIU Y, HU T, ZHANG H, et al. iTransformer:inverted Transformers are effective for time series forecasting[C].International Conference on Learning Representations(ICLR 2024), Kigali, Rwanda, 2024.
张艳红,郭伟彤,张斌.基于多视图时空卷积的交通流量预测模型[J].公路, 2024, 69(1):255-262.ZHANG Yanhong, GUO Weitong, ZHANG Bin. Traffic flow prediction model based on multi-view spatiotemporal convolution[J]. Highway, 2024, 69(1):255-262.
GAO N, JIANG X Y, ZHANG X H, et al. Efficient frequency-domain image deraining with contrastive regularization[C]. European Conference on Computer Vision(ECCV 2024), Milan, Italy, 2024.
YE T Z, LI D, XIA Y Q, et al. Differential transformer[C].International Conference on Learning Representations(ICLR 2025), Singapore, 2025.
0
浏览量
78
下载量
0
CSCD
关联资源
相关文章
相关作者
相关机构
京公网安备11010802024621