摘要
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，完成了高压断路器多重故障的辨识。研究结果表明：本文所提方法对断路器弹簧结构、内部组件松动等多重机械故障具有良好的辨识效果，同时，为高压断路器的实时在线监测提供了一种参考。
Analysis of multiple-faults of high-voltage circuit breakers based on non-negative matrix decomposition
基于非负矩阵分解的高压断路器多重故障分析方法
Yongrong Zhou, Zhaoxing Ma, Hao Chen, Ruihua Wang
1.State Key Laboratory of Technology and Equipment for Defense against Power System Operational Risks,Nanjing 211106,P.R.China
2.Nari Group Co.,Ltd.,Nanjing 211106,P.R.China
3.Qingdao University of Technology,School of Information and Control Engineering,Qingdao 266520,P.R.China
4.State Grid Nanjing Power Supply Company,Nanjing 211000,P.R.China
收听作者1分钟语音介绍
Abstract
Keywords
High voltage circuit breaker;Signal separation;Monitor;Multiple faults;Power system
Fig. 1 Separation model of multiple voiceprint information
Fig. 2 Conditioning circuit
Fig. 3 Structure diagram
Fig. 4 Voiceprint acquisition device for high-voltage circuit breaker
Fig. 5 Installation location diagram of high-voltage circuit breaker voiceprint acquisition device
Fig. 6 High-voltage circuit breaker voiceprint information monitoring test platform
Fig. 7 Fault simulation
Fig. 8 Time domain and spectral waveform of the acquired signal
Fig. 9 Spectral waveform of the separated signal
Fig. 10 Signal waveform of component loosening fault under working Condition 2
Fig. 11 Signal waveforms of iron core jamming fault under working Condition 2
本文引文信息
Zhou Y R, Ma Z X, Chen H, et al. (2023) Analysis of multiple-faults of high-voltage circuit breakers based on non-negative matrix decomposition, Global Energy Interconnection, 7(2): 179-189
周永荣，马兆兴，陈昊等 (2023) 基于非负矩阵分解的高压断路器多重故障分析方法. 全球能源互联网（英文）, 7(2): 179-189
Biographies
Yongrong Zhou
Yongrong Zhou received his Bachelor degree from Southeast University, Nanjing, 2003. He is working at NARI Group Co., Ltd., Nanjing.His research interests are mainly focused on power system and its automation.
Zhaoxing Ma
Zhaoxing Ma, Ph.D.in 2013,currently working in Qingdao University of Technology.He is engaged in the research on power system analysis,operation,and control.
Hao Chen
Hao Chen, Ph.D.is currently working as a researcher-level senior engineer at the State Grid Nanjing Power Supply Company.He is engaged in research on intelligent operations and the inspection of substations.
Ruihua Wang
Ruihua Wang, Ph.D.in 2016,is currently working in Qingdao University of Technology.Her research interests include cloud control,hybrid systems,positive systems,fuzzy systems,tracking control,filtering and their applications.
编辑：王彦博
审核：王 伟
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