山东电力技术2023，Vol.50Issue(7)：44-52,9.DOI:10.20097/j.cnki.issn1007-9904.2023.07.006
基于改进VMD和AdaBoost-SVM的隔离开关振动信号提取与故障诊断研究
Research on Mechanical Vibration Signal Extraction and Fault Diagnosis of Disconnect Switches Based on Improved VMD and AdaBoost-SVM
摘要
关键词
隔离开关/振动信号/AWOA-VMD/AdaBoost-SVMKey words
disconnector/vibration signal/AWOA-VMD/AdaBoost-SVM分类
动力与电气工程引用本文复制引用
吕学宾,田鹏,孙忠凯,张建华,袁强..基于改进VMD和AdaBoost-SVM的隔离开关振动信号提取与故障诊断研究[J].山东电力技术,2023,50(7):44-52,9.基金项目
国网省电力公司科技项目"基于多特征参量的组合电器隔离开关状态感知技术与故障诊断综合系统研究"(520610210002).Science and Technology Project of State Grid Shandong Electric Power Company"Research on State Sensing Technology and Fault Diagnosis Comprehensive System for Composite Electrical Isolating Switches Based on Multiple Feature Parameters"(520610210002). （520610210002）
