城市配电网电缆故障诊断研究  

Research on Cable Fault Diagnosis of Urban Distribution Network

作　　者：洪天星[1] HONG Tianxing(School of Mechanical and Electrical Engineering,Longyan University,Longyan Fujian 364012,China)

机构地区：[1]龙岩学院机电工程学院,福建龙岩364012

出　　处：《佳木斯大学学报（自然科学版）》2021年第3期145-149,共5页Journal of Jiamusi University：Natural Science Edition

摘　　要：电缆在配电网中的的使用越来越多,供电系统内部电缆出现问题的几率会变大。基于此,以电力电缆故障诊断为研究对象,采用小波奇异熵算法对电缆故障原始信号进行故障特征量提取,然后采用神经网络辨别电缆故障类型。仿真结果表明本方案能够准确辨别出故障类型,具有较高的精准度。With the increasing use of cables in the distribution network,the probability of internal cable problems in the power supply system will increase.Based on this,this paper takes power cable fault diagnosis as the research object,uses wavelet singular entropy algorithm to attempt the fault feature of the original signal of cable fault,and then uses neural network to identify the type of cable fault.The simulation results show that the scheme can identify the fault types accurately and has high accuracy.

关 键 词：电缆故障 神经网络 小波 奇异熵 

分 类 号：TM247[一般工业技术—材料科学与工程]