基于雷电侵入波冲击电流全景数据的避雷器故障诊断  

Lightning Arrester Diagnosis Based on Panoramic Data of Lightning Impulse Current

作　　者：王德全 吴绍武 郝晓强 李勇群 WANG De-quan;WU Shao-wu;HAO Xiao-qiang;LI Yong-qun(Huai'an Power Supply Branch of Jiangsu Electric Power Co.,Huai'an 223002 China)

机构地区：[1]江苏省电力有限公司淮安供电分公司,江苏淮安223002

出　　处：《自动化技术与应用》2024年第6期35-37,81,共4页Techniques of Automation and Applications

基　　金：江苏省电力有限公司科技项目(J2020098)。

摘　　要：避雷器运行环境差,发生故障频率高,当前方法故障诊断方法耗时长、易出现误判,为此设计基于雷电侵入波冲击电流全景数据的避雷器故障诊断方法。首先采集全雷电侵入波冲击电流全景数据,通过提升小波方法对数据进行分解处理,获取不同层数下的对应细节信号,提取电流信号特征,然后采用神经网络模式识别的自学习能力和自组织能力建立避雷器故障诊断模型。仿真模拟测试结果表明,所提方法不仅可以实现避雷器单个故障的准确诊断,也可以实现避雷器多个故障的准确诊断,具有一定的应用价值。The lightning arrester has poor operating environment and high fault frequency.The current fault diagnosis method is time-consuming and prone to misjudgment.In order to design the lightning arrester fault diagnosis method based on the panoramic data of lightning intrusion wave impulse current.Firstly,the panoramic data of lightning impulse current is collected,and the data is decomposed by lifting wavelet method to obtain the corresponding detail signals under different layers and extract the current signal characteristics.Then,the fault diagnosis model of arrester is established by using the self-learning ability and self-organization ability of neural network pattern recognition.The simulation results show that this method can not only realize the accurate diagnosis of single fault of arrester.It can also realize the accurate diagnosis of multiple faults of lightning arrester,and has certain application value.

关 键 词：雷电侵入波 冲击电流 小波基函数 能量熵 避雷器 故障诊断 

分 类 号：TP183[自动化与计算机技术—控制理论与控制工程] TM854[自动化与计算机技术—控制科学与工程]