现代信息科技2025，Vol.9Issue(1)：30-34,5.DOI:10.19850/j.cnki.2096-4706.2025.01.007
基于递归图和MobileViT的复合电能质量扰动识别
Complex Power Quality Disturbances Recognition Based on Recurrence Plot and MobileViT
刘道庆 1臧润泽 1李鹏 1王振克 1程晨1
作者信息
- 1. 淮河能源电力集团有限责任公司,安徽 淮南 232001
- 折叠
摘要
Abstract
Aiming at the problems of difficult feature extraction and low recognition efficiency in the recognition process of complex Power Quality Disturbances(PQDs)signals,this paper proposes a high efficiency visualization method and a PQDs recognition method of the lightweight network model.Firstly,the Recurrence Plot(RP)method is utilized to visualize one-dimensional PQDs signals to capture the nonlinear dynamic features in these signals.Secondly,according to IEEE Std 1159-2019 standard,30 types of PQDs signals are simulated and generated,and the image dataset is established by the RP method.Thirdly,the MobileViT lightweight network is used to perform feature extraction and classification recognition tasks on the custom image dataset.Finally,through comparative experiments and robustness tests with the traditional lightweight networks of MobileNetV2 and MobileNetV3,it is verified that the method adopted in this paper has higher recognition accuracy and faster reasoning speed.关键词
电能质量扰动/递归图/可视化/MobileViT/轻量级网络Key words
PQDs/RP/visualization/MobileViT/lightweight network分类
信息技术与安全科学引用本文复制引用
刘道庆,臧润泽,李鹏,王振克,程晨..基于递归图和MobileViT的复合电能质量扰动识别[J].现代信息科技,2025,9(1):30-34,5.
