基于自适应阈值的SA雷达发射机故障重构预警方法研究

Research on Early Warning of SA Radar Transmitter Fault Based on Reconstruction Method with Adaptive Threshold

新一代天气雷达的故障识别和判定一直是雷达运维面临的技术挑战,部分严重故障的滞后响应会导致雷达相应部件的损坏加剧。本文在结合人工智能技术和雷达数据特点的基础上,提出了基于自适应阈值的SA雷达发射机系统故障预警和判定方法,建立了基于重构模型的发射机故障在线监测的算法框架。该算法框架能够在雷达发射机故障发生早期识别异常并给出预警。采用实际运行记录进行计算分析,并验证了该方法在实际运行中有效可用。

The fault prediction and diagnosis of the new generation weather radar have always been a technical challenge for radar operation and maintenance.The delayed response to some severe faults will lead to aggravated damage to the corresponding components of the radar.In this paper,based on the combination of artificial intelligence technology and radar data characteristics,a SA radar transmitter system fault warning and determination method based on the adaptive threshold is proposed.An algorithm framework for transmitter fault online monitoring based on a reconstruction model is established.The algorithm framework can identify anomalies and warn early when radar transmitter failures occur.The actual operation records are used for calculation and analysis,verifying the method's effectiveness.