基于非负矩阵分解的高压断路器多重故障分析方法OACSTPCDEI
Analysis of multiple-faults of high-voltage circuit breakers based on non-negative matrix decomposition
高压断路器是电力网络的核心设备,直接关系到电力系统的安全可靠运行,机械故障是断路器常见的故障类型,本文提出了一种基于分量分离方法来检测断路器的多重机械故障,可实现在线实时监测.首先,给出了获取断路器机械声纹信号的模型及策略；然后,通过获取断路器运行的声纹信息数据,采用分量分离方法,将多重故障的声纹信号分解为单一分量的信号,在此基础上可以实现单一故障声纹信号特征的识别；最后,通过试验模拟和变电站现场采集到的断路器声纹信息数据进行验证,完成了高压断路…查看全部>>
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 …查看全部>>
周永荣;马兆兴;陈昊;王瑞华
高压断路器分量分离监测多重故障传感器
High voltage circuit breakerSignal separationMonitorMultiple faultsPower system
《全球能源互联网（英文）》 2024 (2)
179-189,11
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).
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