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作 者:张灿 ZHANG Can(Jiangsu Electric Power Co.,Ltd.,Nanjing Power Supply Branch,Nanjing 210000,China)
机构地区:[1]江苏省电力有限公司南京供电分公司,江苏南京210000
出 处:《电工技术》2024年第1期183-185,188,共4页Electric Engineering
摘 要:针对传统监测系统存在电力设备故障诊断精度不高的现状,研究了一种新型的电力设备故障诊断方法。以物联网为基础架构,构建了智能监测系统,并给出了系统硬件结构及软件结构,基于此进行了试验验证。试验结果表明,该方法可有效提高运行状态分类效率和监测准确率,具有一定的实用性。In view of the low accuracy of power equipment fault diagnosis by traditional monitoring systems,a new method for power equipment fault diagnosis was studied.An intelligent monitoring system based on Internet of Things infrastructure was constructed,whose hardware and software structures were given and of which experimental verification was conducted.The experimental results showed that the proposed method can effectively improve efficiency of operation status classification and accuracy of monitoring,and has certain practicality.
分 类 号:TM631.5[电气工程—电力系统及自动化]
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