电测与仪表2025，Vol.62Issue(3)：198-207,10.DOI:10.19753/j.issn1001-1390.2025.03.024
基于多元振动序列共性特征的电抗器故障诊断
Reactor fault diagnosis based on common feature of multivariate vibration sequences
摘要
Abstract
Aiming at the limitation that current feature selection algorithms are only available for univariate vibra-tion sequence,this paper proposes a multivariate vibration sequences feature selection algorithm named SVM-RFE-GA based on support vector machine recursive feature elimination algorithm(SVM-RFE)and genetic algorithm(GA).Taking a 220 kV high voltage shunt reactor as the research object,we build a mechanical fault simulation platform,set up 5 kinds of equipment states and collect multivariate vibration sequences of different equipment states at 24 sampling positions on its surface.We construct the feature pool from the time domain,frequency do-main and time-frequency domain.For single vibration sequences,we rank the features and select features prelimi-narily by SVM-RFE.Then,the preliminarily select features are further optimized by GA algorithm to select the fea-ture combination with the highest accuracy and the least number.The experimental result shows that the proposed method can select the common feature combination of multivariate vibration sequences,and the combination can en-sure the highest fault diagnosis accuracy and the minimum number of features.关键词
高压并联电抗器/故障诊断/特征选择/递归特征消除算法/遗传算法Key words
high voltage shunt reactor/fault diagnosis/feature selection/SVM-RFE/GA分类
动力与电气工程引用本文复制引用
付铭,朱明,梅杰,张静,肖黎,张宗喜..基于多元振动序列共性特征的电抗器故障诊断[J].电测与仪表,2025,62(3):198-207,10.基金项目
国家电网有限公司科技项目(52199919000A) （52199919000A）
