基于WSN的电缆头故障预警系统
Cable Head Fault Warning System Based on WSN
田娟1
作者信息
- 1. 国网青海省电力公司超高压公司,青海 西宁 810000
- 折叠
摘要
针对电缆头故障预警的需求,设计一套基于无线传感网络(Wireless Sensor Network,WSN)的电缆头故障预警系统.该系统通过布置振动、声发射、局放传感器实时采集电缆头状态信号,利用改进的麻雀搜索算法优化的支持向量机模型对数据进行故障诊断与分类.实验结果表明,该系统对不同类型故障的诊断准确率均在95%以上,诊断时间低于20 ms,系统功耗控制在160 mW以下,可有效识别电缆头绝缘击穿、闪络放电、局部放电等典型故障.
Abstract
In response to the demand for cable head fault warning,this article designs a cable head fault warning system based on Wireless Sensor Network(WSN).The system collects real-time cable head status signals by arranging vibration,acoustic emission,and partial discharge sensors,and uses an improved sparrow search algorithm optimized support vector machine model to diagnose and classify faults in the data.The experimental results show that the system has a diagnostic accuracy of over 95%for different types of faults,with a diagnostic time of less than 20 ms and a power consumption controlled below 160 mW.It can effectively identify typical faults such as cable head insulation breakdown,flashover discharge,and partial discharge.
关键词
电缆头/无线传感网络(WSN)/支持向量机/麻雀搜索算法Key words
cable head/Wireless Sensor Network(WSN)/support vector machine/sparrow search algorithm引用本文复制引用
出版年
2024
NETL
NSTL
万方数据