5元可提现的电玩城

5元可提现的电玩城学报 ?? 2020, Vol. 38 ?? Issue (3): 45-49.

? 工程技术 ? 上一篇    下一篇

5元可提现的电玩城: 基于电压振幅与SVM 的输电线路故障分类方法

费春国,霍洪双   

  1. (5元可提现的电玩城电子信息与自动化学院,天津300300)
  • 出版日期:2020-06-26 发布日期:2020-06-23
  • 作者简介:费春国(1974—),男,浙江宁波人,博士,副教授,研究方向为电力传输线故障分类和故障定位,智能优化,神经网络.

5元可提现的电玩城: Fault classification method for transmission line based on voltage amplitude and SVM

FEI Chunguo, HUO Hongshuang   

  1. (College of Electronic Information and Automation, CAUC, Tianjin 300300, China)
  • Online:2020-06-26 Published:2020-06-23

摘要: 为实现高压输电线路故障的快速尧准确分类,提出一种故障电压振幅与支持向量机渊SVM冤相结合的输电线路故障分类方法。对于三相故障电压信号,经滤波处理后,截取故障发生后半个周期的电压信号振幅作为基本故障特征,然后将其输入到SVM 智能故障分类系统,经过训练与预测识别出输电线路的故障类型。系统仿真结果表明,该方法有效提高了故障分类的速度和准确度,且过渡电阻尧故障位置尧故障初始角等因素对其影响极。哂辛己玫氖视π,故障分类准确率可达到100%。

关键词: 电压振幅, 支持向量机, 滤波, 信号截取, 故障分类

Abstract: In order to realize the fast and accurate classification of high voltage transmission line fault, a fault classification scheme is proposed based on fault voltage signal amplitude and SVM. The half-circle fault amplititudes of threephase voltage intercepted after filtering just are applied as fault features in the novel scheme, being input to SVM intelligent fault classification system. After training and predicting, the scheme can identify fault types on
transmission line. According to system simulation results, the fault classification method can effectively improve the speed and the accuracy of fault classification, which is lightly affected by factors such as fault impedances,fault inception angles, fault location and so on. It has good adaptability and the accuracy of fault classification can reach 100%.

Key words: voltage amplitude, SVM, wave filtering, signal interception, fault classification

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