机械与电子2026，Vol.44Issue(2)：72-78,83,8.
基于线圈电流相轨迹-XGBoost的高压断路器故障诊断方法
Fault Diagnosis Method for High-voltage Circuit Breakers Based on Coil Current Phase Trajectory and XGBoost
摘要
Abstract
To address issues in high-voltage circuit breaker fault identification,such as relatively sin-gular feature extraction and diagnostic algorithms'dependency on parameter selection,a fault diagnosis method based on coil current phase trajectory and XGBoost is proposed.Firstly,the Lyapunov exponent of the opening/closing coil current is analyzed,revealing the chaotic variation characteristics of the coil current when a circuit breaker fault occurs.The delay time parameter for reconstruction is optimized using the av-erage mutual information calculation method,followed by phase space reconstruction of the current signal.Subsequently,the fault features are extracted based on the phase space reconstruction trajectory.A feature vector is formed,comprising the maximum abscissa value and maximum ordinate value of the coil current phase trajectory,the Euclidean distance from internal turning points to the origin,and the origin moment.This vector serves as the input for the XGBoost identification model for training and fault recognition,yielding accurate diagnostic results.Finally,comparative analyses with the peak-valley features,global features,and models such as SVM,KNN,RF and BP demonstrate the superiority of the phase trajectory-XGBoost fault identification method based on coil current signals for high-voltage circuit breaker fault di-agnosis.关键词
高压断路器/线圈电流/XGBoost模型/相空间重构/故障诊断Key words
high-voltage circuit breaker/coil current/XGBoost model/phase space reconstruction/fault diagnosis分类
信息技术与安全科学引用本文复制引用
郑宏,鲍美军,李孟,孙文星,卓坚熊,郭胡森,万书亭..基于线圈电流相轨迹-XGBoost的高压断路器故障诊断方法[J].机械与电子,2026,44(2):72-78,83,8.基金项目
国家自然科学基金资助项目(52275109) （52275109）
