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

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.