无人机辅助的变时磁场分析用于接地网的故障诊断
1Department of Electrical Engineering, COMSATS University Islamabd, Wah Campus, Wah, Punjab, Pakistan.
PloS one
|June 17, 2025
概括
一种基于无人机的新方法使用磁场传感和随时间变化的FastICA脱混合来诊断接地电网故障. 这种方法有效地抑制了电磁干扰 (EMI),提高了电力变电站的安全性和效率.
科学领域:
- 电气工程 电气工程
- 电力系统 电力系统
- 信号处理 信号处理
背景情况:
- 接地电网对于变电站安全至关重要.
- 传统的故障诊断是危险的,缓慢的,劳动密集的.
- 基于无人机的传感提供了更好的安全性和效率,但面临着EMI挑战.
研究的目的:
- 开发基于无人机的磁场传感技术,用于接地电网故障诊断.
- 为了应对无人机测量中的时间变化的电磁干扰 (EMI) 的挑战.
- 提高复杂环境中接地电网故障检测的准确性和安全性.
主要方法:
- 利用无人机在电力变电站周围探测磁场.
- 开发了一种与快速独立组件分析 (FastICA) 集成的时间变化的脱混合技术.
- 模拟并验证了将接地网信号与EMI分离的拟议方法.
主要成果:
- 提出的技术有效地抑制了时间变化的EMI.
- 与标准FastICA (96.36%) 和独立矢量分析 (IVA) (41.17%) 相比,实现了显著的性能改进.
- 在具有挑战性的EMI条件下,在分离接地电网信号方面表现出强大的稳定性.
结论:
- 基于无人机的方法与时间变化的脱混合和FastICA是有效的接地电网故障诊断.
- 这种方法提高了电力变电站维护的安全性和效率.
- 高无人机速度可能会影响性能,这表明未来研究的领域.
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