中国电机工程学报2026，Vol.46Issue(16)：6062-6073,中插29,13.DOI:10.13334/j.0258-8013.pcsee.251218
多维度Transformer算法与电磁暂态建模融合驱动的PMSG故障辨识方法
The Fault Identification Method for PMSG Driven by the Integration of Multi-dimensional Transformer Algorithm and Electromagnetic Transient Modeling
摘要
Abstract
As the core power generation component in wind power systems,the Permanent Magnet Synchronous Generator(PMSG)can significantly impact the entire system upon failure,making timely fault diagnosis and identification crucial for system maintenance.Addressing current challenges in PMSG internal fault identification-such as scarce and imbalanced real fault data,complex internal signal processing,and insufficient deep fault feature extraction-this paper proposes a PMSG fault identification method driven by the integration of multi-dimensional Transformer algorithms and electromagnetic transient modeling(EMT).First,an electromagnetic transient equivalent model of PMSG covering five typical internal faults is constructed on the PSCAD/EMTDC platform,with magnetic flux as the core state variable.Integrated into a wind turbine under multiple operating conditions,it generates a comprehensive and balanced dataset for model training.Then,a multi-dimensional Transformer encoder is proposed,employing parallel time-frequency feature extraction and a gating mechanism for fault classification.Test results demonstrate that the proposed method achieves 99.8%identification accuracy with 60%faster training convergence than traditional models,exhibiting excellent identification performance.关键词
海上风电/永磁同步发电机/建模仿真/故障辨识/多维度TransformerKey words
offshore wind power/permanent magnet synchronous generator(PMSG)/modeling and simulation/fault identification/multi-dimensional Transformer分类
信息技术与安全科学引用本文复制引用
许建中,田昭璇,祝怡阳,刘逸凡,赵成勇..多维度Transformer算法与电磁暂态建模融合驱动的PMSG故障辨识方法[J].中国电机工程学报,2026,46(16):6062-6073,中插29,13.基金项目
国家自然科学基金项目(52277094). Project Supported by National Natural Science Foundation of China(52277094). （52277094）
