基于观察者模式的沿海闪电位置网络的软故障诊断方法
1School of Computer Science, Nanjing University of Information Science and Technology, Nanjing 210044, China.
Sensors (Basel, Switzerland)
|August 14, 2025
概括
本研究引入了一个观察者模式估计 (OPE) 算法,以提高沿海雷暴监测网络中的闪电位置精度. 观察者模式软故障诊断 (OPSFD) 算法有效地识别出故障的传感器节点,提高网络可靠性.
科学领域:
- 大气科学和气象学
- 电气工程和信号处理.
背景情况:
- 沿海地区面临雷暴的重大风险,雷击对电力和通信系统等关键基础设施构成威胁.
- 现有的雷电定位网络虽然对实时监控和预警至关重要,但由于传感器节点的软故障,可能会受到位置数据的扭曲的影响.
研究的目的:
- 开发一种新的方法来诊断多节点数据融合系统中的闪电定位器节点中的软故障.
- 提高雷电位置数据的准确性和可靠性,以改善沿海地区的雷暴预警和防护.
主要方法:
- 在观察者模式框架中分析导致闪电位置错误的因素.
- 建议并实施观察者模式估计 (OPE) 算法,以改善闪电定位.
- 开发一个观察者模式软故障诊断 (OPSFD) 算法来识别故障的传感器节点.
主要成果:
- 在模拟实验中,OPE算法在闪电定位准确度方面取得了显著的改进.
- 当它们的观察误差超过正常范围时,OPSFD算法成功诊断出软故障节点.
- OPE算法为现有的闪电定位网络提供了具有成本效益的增强.
结论:
- 拟议的OPE算法是提高当前雷电定位网络准确性的有效和高效方法.
- OPSFD算法为闪电定位器网络的故障诊断提供了可靠的手段,提高了整体系统完整性.
- 这两种算法都适合现有的闪电检测基础设施的实际部署和升级.
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