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作 者:靳邵云 付茂金[2] 肖桐[2] JIN Shaoyun;FU Maojin;XIAO Tong(Postgraduate Department,China Academy of Railway sciences,Beijing 100081,China;Signal&Communication Research Institute,China Academy of Railway Sciences,Beijing 10081,China)
机构地区:[1]中国铁道科学研究院研究生部,北京100081 [2]中国铁道科学研究院通信信号研究所,北京100081
出 处:《电瓷避雷器》2019年第4期99-104,共6页Insulators and Surge Arresters
摘 要:压敏电阻作为浪涌保护器的重要部件,在铁路的雷电防护领域内有着大规模的应用,其工作状态决定着防雷的实际效果.对压敏电阻开展状态感知和劣化评估可以有效避免因防雷器件失效而引发的浪涌入侵事故.本文以实验的方式采集了压敏电阻在整个寿命周期中的若干劣化敏感参数,首先对各个参数的变化趋势进行了分析,然后采用k最近邻和线性回归的方法构建了压敏电阻的劣化模型,并进行了验证.本文构建的模型具有较高的正确率,提供了一种压敏电阻的现场监测方法,能够实现防雷系统中元器件级别的状态监测,为铁路电务系统中雷电防护系统的智能运行维护提供了参考.Metal oxide varistor(MOV)is a vital component of surge protection device(SPD),which is widely applied in railway lightning protection field.Therefore,its working status determines the actual effect of lightning protection.The implementation of status-perception and degradation-assessment for MOV is an effective way to avoid surge intrusion accident caused by SPD failure.In this paper,we conducted a degradation experiment for MOV,and some deterioration sensitive parameters of MOV were collected in its whole life cycle.The variation trend of each parameter was analyzed at first,and then the k-Nearest Neighbor(kNN)and Linear Regression method were used to construct the MOV degradation model.Finally,the verification was carried out.The model built in this paper has high accuracy performance,and realizes the field condition monitoring of component level in lightning protection system,and provides a reference method for intelligent operation and maintenance of lightning protection system in railway signal and communication department.
分 类 号:TM8[电气工程—高电压与绝缘技术]
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