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基于模糊支持向量机的开关柜运行故障实时监测方法

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常规的开关柜运行故障实时监测方法主要使用 GSY20 测量传感器采集故障信号,易受局部放电作用影响,导致监测的异常幅值与实际异常幅值相差较大.因此,需要基于模糊支持向量机设计一种全新的开关柜运行故障实时监测方法.利用模糊支持向量机进行了故障实时监测分类,构建了开关柜运行故障实时监测中心,从而实现了开关柜运行故障实时监测.实验结果表明,所设计的监测方法监测的异常幅值与实际异常幅值接近,监测效果较好.
Fuzzy-SVM-based Real time Monitoring of Operating Faults of Switchgears
The conventional real-time monitoring method of switchgear operating fault mainly uses GSY20 measuring sen-sors to collect fault signals,which is susceptible to the effect of partial discharge,resulting in a large difference between monitored abnormal amplitude and actual abnormal amplitude.Therefore,it is necessary to design a new real-time meth-od to monitor switchgear operating faults and the present work made an attempt based on fuzzy support vector machine(SVM).The fuzzy SVM was used for real-time fault monitoring and classification,and a real-time monitoring center for switchgear operating faults.The experimental results show that the designed method can obtain monitored abnormal am-plitudes close to actual values,proving its good monitoring effect.

fuzzy support vector machineswitchgearoperationfaultreal-timemonitoring

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模糊支持向量机 开关柜 运行 故障 实时 监测

2024

电工技术
重庆西南信息有限公司(原科技部西南信息中心)

电工技术

影响因子:0.177
ISSN:1002-1388
年,卷(期):2024.(3)
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