首页|基于超声波的10kV电缆中间接头故障类型识别方法

基于超声波的10kV电缆中间接头故障类型识别方法

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电缆中间接头是连接两端电缆的关键附件,其绝缘状态及故障类型的准确识别是运维检修的关键工作,因此,设计制作了典型的中间接头故障样本,基于超声波局部放电测试方法,采用DWT法对测试数据进行降噪处理,并结合LeNet-5卷积神经网络架构提出了 10kV电缆中间接头故障类型识别方法.结果表明,所提方法可以有效识别不同类型的电缆中间接头故障类型,识别准确率可达94%,为电缆的运维检修提供了一种新的方法.
Fault Type Identification Method of 10kV Cable Intermediate Joint Based on Ultrasonic
Cable intermediate joint is a crucial accessory that connects two cable ends.The accurate identification of its insulation status and fault types is a key task for operation and maintenance.Therefore,typical fault samples of intermediate joint were designed and made,and a 10kV cable intermediate joint fault type identification method based on the ultrasonic partial discharge testing method and DWT method for denoising the test data,combined with the LeNet-5 convolutional neural network architecture,was proposed.The results show that the proposed method can effectively identify different types of cable intermediate joint faults with an accuracy rate of up to 94%,provi-ding a new method for the operation and maintenance of cables.

cableintermediate jointpartial dischargeultrasonicfault identification

杜华、张乐乐、杨为波、赵步宽、张祥宇

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中国铁路北京局集团有限公司石家庄供电段,河北 石家庄 050000

西南交通大学,四川 成都 611756

电缆 中间接头 局部放电 超声波 故障识别

2024

电气开关
沈阳电气传动研究所

电气开关

影响因子:0.281
ISSN:1004-289X
年,卷(期):2024.62(4)