机械与电子2025，Vol.43Issue(7)：48-53,6.
基于无人机智能巡检系统的配电故障诊断
Distribution Fault Diagnosis Based on UAV Intelligent Inspection System
摘要
Abstract
This paper proposes a non-destructive inspection method using the intelligent inspection system installed on the unmanned aerial vehicle to detect the distribution station.First of all,automatic line tracking technology based on image processing ensures the continuity and accuracy of detection;secondly,the fault location is automatically estimated according to the consistency of partial discharge,and the alarm is triggered by the statistical outlier detection and the position estimation on the two-dimensional partial discharge diagram,thus improving the accuracy of fault detection;finally,through the field test in the 10 kV intelligent distribution station building,the unmanned aerial vehicle equipped with the intelligent in-spection system conducted the inspection of the distribution station in the automatic pilot mode.The con-sistency test was carried out by the 3σ outlier method,which successfully verified the fault detection capa-bility of this method.The experimental results show that this method not only proves the effectiveness and convenience of the intelligent inspection system,but also shows its great potential in improving the safety and reliability of power grid operation.关键词
故障诊断/局部放电/一致性评估/智能巡检系统Key words
fault diagnosis/partial discharge/consistency assessment/intelligent inspection system分类
信息技术与安全科学引用本文复制引用
吴栋,李志立,何文中,杨绍辉,李艳明,高帅勇..基于无人机智能巡检系统的配电故障诊断[J].机械与电子,2025,43(7):48-53,6.基金项目
国网河南省电力公司科技项目资助(5217E0240005) （5217E0240005）
