| 注册
首页|期刊导航|电力系统保护与控制|基于多模态三支路异构融合的逆变器开路故障诊断研究

基于多模态三支路异构融合的逆变器开路故障诊断研究

刘伟 王澜 易冠群

电力系统保护与控制2026,Vol.54Issue(1):71-82,12.
电力系统保护与控制2026,Vol.54Issue(1):71-82,12.DOI:10.19783/j.cnki.pspc.250250

基于多模态三支路异构融合的逆变器开路故障诊断研究

Research on open-circuit fault diagnosis of inverters based on multi-modal three-branch heterogeneous fusion

刘伟 1王澜 1易冠群2

作者信息

  • 1. 东北石油大学电气信息工程学院,黑龙江 大庆 163318
  • 2. 国网信息通信产业集团有限公司,北京 102211
  • 折叠

摘要

Abstract

A three-branch heterogeneous fusion diagnostic method based on GAF-RP-LSTM-Transformer is proposed for inverter open-circuit faults.First,the output current signals are processed to extract localized fault characteristics through complementary ensemble empirical mode decomposition and phase randomization techniques(CEEMD-PRT).Then,the one-dimensional temporal signals are converted into two-dimensional images via Gramian angular field(GAF)and recurrence plot(RP)transformations,effectively leveraging global trend features(GAF)and nonlinear dynamic characteristics(RP)embedded in the temporal sequences.To overcome the limitations of conventional one-dimensional feature extraction in spatial correlation representation,a long short-term memory(LSTM)network is employed to capture dynamic temporal features,while a dual-branch GAF-RP-Transformer model extracts spatial features from the two-dimensional images.To enable multidimensional fusion of temporal and spatial characteristics,a novel heterogeneous feature fusion module is proposed,leveraging the complementarity of multi-modal images to enhance the model's ability to capture subtle fault differences.Experimental results demonstrate that the proposed model achieves a classification accuracy of 99.3%on the test sets,significantly outperforming comparative models while maintaining high diagnostic accuracy under varying noise conditions.In particular,under 30 dB and 20 dB noise levels,the accuracy degradation remains small,indicating strong robustness.Simulation results validate the effectiveness and superiority of the GAF-RP-LSTM-Transformer three-branch heterogeneous fusion framework in inverter fault diagnosis.

关键词

逆变器开路故障诊断/多模态三支路异构融合模型/CEEMD-PRT算法/异构特征融合

Key words

inverter open-circuit fault diagnosis/multi-modal three-branch heterogeneous fusion model/CEEMD-PRT algorithm/heterogeneous feature fusion

引用本文复制引用

刘伟,王澜,易冠群..基于多模态三支路异构融合的逆变器开路故障诊断研究[J].电力系统保护与控制,2026,54(1):71-82,12.

基金项目

This work is supported by the National Natural Science Foundation of China(No.62473096). 国家自然科学基金项目资助(62473096) (No.62473096)

电力系统保护与控制

1674-3415

访问量0
|
下载量0
段落导航相关论文