电气传动2025，Vol.55Issue(10)：73-80,8.DOI:10.19457/j.1001-2095.dqcd26211
基于MTF-CFOA-PVT的隔离开关故障诊断
Fault Diagnosis of Isolation Switch Based on MTF-CFOA-PVT
摘要
Abstract
A fault diagnosis model for isolation switches based on Markov transition field(MTF),catch fish optimization algorithm(CFOA)improved pyramid vision transformer(PVT)was proposed to address the problems of complex fault situations,strong noise in signal extraction,and insufficient feature extraction.Firstly,the MTF algorithm was used to convert the one-dimensional vibration signal of the time sequence into a two-dimensional image,preserving the relevant temporal characteristics in the one-dimensional signal.Secondly,the obtained two-dimensional image was input into the PVT model optimized by the CFOA for extracting features from the image.Finally,the obtained model was applied to the diagnosis of isolation switch faults.The experimental results show that under different fault conditions,this method can achieve a fault classification accuracy of 98.25%for isolation switches,demonstrating the superiority of this method.关键词
马尔科夫变迁场/金字塔视觉转换器/隔离开关/故障诊断Key words
Markov transition field(MTF)/pyramid vision transformer(PVT)/isolating switch/fault diagnosis分类
信息技术与安全科学引用本文复制引用
申张亮,陈旖旎,李浩民,刘子豪,马宏忠,葛轩豪..基于MTF-CFOA-PVT的隔离开关故障诊断[J].电气传动,2025,55(10):73-80,8.基金项目
国网江苏省电力有限公司重点科技项目(J2024047) （J2024047）
