电磁式断路器状态监测与智能评估技术综述  

Review of Condition Monitoring and Intelligent Assessment of Electromagnetic Circuit Breaker

作　　者：韩翔宇 纽春萍[1] 何海龙[1] 吴佳宝 陈子薇 Han Xiangyu;Niu Chunping;He Hailong;Wu Jiabao;Chen Ziwei(State Key Laboratory of Electrical Insulation and Power Equipment Xi’an Jiaotong University,Xi’an 710000 China)

机构地区：[1]电力设备电气绝缘国家重点实验室(西安交通大学),西安710000

出　　处：《电工技术学报》2023年第8期2191-2210,共20页Transactions of China Electrotechnical Society

摘　　要：在智能电网的发展背景下,电磁式断路器的健康管理对提高电力系统的供电可靠性、安全性和稳定性具有重要意义,因此受到了研究者们的广泛关注。状态监测和智能评估是电磁式断路器健康管理的主要内容。首先,通过对近些年相关文献的梳理,从传感监测、特征提取与降维、故障诊断、健康评估和剩余寿命预测方面总结当前的研究现状,并着重分析了现有技术中存在的局限。然后,简要介绍电磁式断路器健康管理系统的硬件实现方案,阐明了在实际应用上的不足。最后,讨论了状态监测与智能评估所面临的研究挑战以及未来的发展趋势,希望能给该领域的研究人员提供一定参考。As the key switchgear in a power system,an electromagnetic circuit breaker plays a vital role in controlling energy flow,protecting the system circuit,and isolating fault current.It is of great significance to realize the health management of electromagnetic circuit breakers to improve the reliability,security,and stability of power supply systems.With the development of advanced sensor technology,industrial big data technology,and artificial intelligence technology,the“data-driven approach”has gradually replaced the previous“mechanism modeling approach”to become the mainstream research direction of electromagnetic circuit breaker health management technology.Condition monitoring and intelligent assessment are the main contents in this field.Through a detailed review of the main references or published technology patents in the past decade,the current research status of“sensing monitoring”,“feature extraction and dimension reduction”,“fault diagnosis”,“health assessment”,and“residual life prediction”were analyzed.For“sensing monitoring”,almost all sensing signals and their monitoring methods were covered from electrical,mechanical,and temperature characteristics.The advantages and disadvantages of each sensing signal were expounded,respectively.It is pointed out that the sensitivity of various signals to the deterioration of different parts of the circuit breaker is different.It is difficult to reflect the overall deterioration state of the circuit breaker by relying only on a single type of signal,so it may be necessary to monitor multi-source sensing signals for fusion analysis.For“feature extraction and dimension reduction”,typical feature extraction methods,such as the short-time energy method,wavelet transform,and empirical mode decomposition,were mainly analyzed from the time domain and time-frequency domain mixture two aspects.Furthermore,two types of feature dimension reduction methods were summarized;For“fault diagnosis”,building expert systems and applying machine

关 键 词：断路器 状态监测 智能评估 数据驱动 人工智能 

分 类 号：TM561[电气工程—电器]