全球能源互联网（英文）2024，Vol.7Issue(2)：179-189,11.DOI:10.1016/j.gloei.2024.04.006
基于非负矩阵分解的高压断路器多重故障分析方法
Analysis of multiple-faults of high-voltage circuit breakers based on non-negative matrix decomposition
摘要
Abstract
High-voltage circuit breakers are the core equipment in power networks,and to a certain extent,are related to the safe and reliable operation of power systems.However,their core components are prone to mechanical faults.This study proposes a component separation method to detect multiple mechanical faults in circuit breakers that can achieve online real-time monitoring.First,a model and strategy are presented for obtaining mechanical voiceprint signals from circuit breakers.Subsequently,the component separation method was used to decompose the voiceprint signals of multiple faults into individual component signals.Based on this,the recognition of the features of a single-fault voiceprint signal can be achieved.Finally,multiple faults in high-voltage circuit breakers were identified through an experimental simulation and verification of the circuit breaker voiceprint signals collected from the substation site.The research results indicate that the proposed method exhibits excellent performance for multiple mechanical faults,such as spring structures and loose internal components of circuit breakers.In addition,it provides a reference method for the real-time online monitoring of high-voltage circuit breakers.关键词
高压断路器/分量分离/监测/多重故障/传感器Key words
High voltage circuit breaker/Signal separation/Monitor/Multiple faults/Power system引用本文复制引用
周永荣,马兆兴,陈昊,王瑞华..基于非负矩阵分解的高压断路器多重故障分析方法[J].全球能源互联网（英文）,2024,7(2):179-189,11.基金项目
This study was supported by the State Key Laboratory of Technology and Equipment for Defense against Power System Operational Risks(No.SGNR0000KJJS2302137),the National Natural Science Foundation of China(Grant No.62203248),and the Natural Science Foundation of Shandong Province(Grant No.ZR2020ME194). （No.SGNR0000KJJS2302137）
