基于超声波的10kV电缆中间接头故障类型识别方法  

Fault Type Identification Method of 10kV Cable Intermediate Joint Based on Ultrasonic

作　　者：杜华 张乐乐 杨为波 赵步宽 张祥宇 DU Hua;ZHANG Le-le;YANG Wei-bo;ZHAO Bu-kuan;ZHANG Xiang-yu(Shijiazhuang Power Supply Section of China Railway Beijing Bureau Group Co.Ltd.,Shijiazhuang 050000,China;Southwest Jiaotong University,Chengdu 611756,China)

机构地区：[1]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 [2]西南交通大学,四川成都611756

出　　处：《电气开关》2024年第4期32-34,共3页Electric Switchgear

摘　　要：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。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%,providing a new method for the operation and maintenance of cables.

关 键 词：电缆 中间接头 局部放电 超声波 故障识别 

分 类 号：TM24[一般工业技术—材料科学与工程]