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智能化雷达故障预测及检测技术综述 被引量:4

Overview of Intelligent Radar Fault Prediction and Detection Technology
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摘要 雷达故障预测和故障检测技术是雷达装备维护从传统化定期检修向智能化视情维修转变的关键技术。为保障雷达作战效能的发挥,需及时对雷达故障进行预测、检测并实时告警。随着微波测量和人工智能技术的日趋成熟,智能化雷达故障预测及检测技术也不断发展。文中详细阐述了当前故障预测与健康管理以及故障检测技术的国内外研究现状,分析了现有智能化雷达故障预测和检测技术的优缺点,梳理了该技术在雷达维修保障领域的研究进展,提出了雷达故障预测和检测过程中可能存在的问题和限制条件。针对实际问题和限制条件,对未来智能化雷达故障预测和检测技术的研究方向进行了展望,为智能化故障预测及故障检测技术在雷达维修保障领域的深入研究提供参考。 Radar fault prediction and fault detection technology is the key technology for the transformation of radar equipment maintenance from traditional regular maintenance to intelligent condition-based maintenance.To ensure the performance of radar combat effectiveness,it is necessary to predict,detect and give real-time warnings to radar fault in time.With the maturity of microwave measurement and artificial intelligence technology,intelligent radar fault prediction and detection technology also conti-nues to develop.In this paper,the current research status of fault prediction and health management and fault detection technology at home and abroad are elaborated,the advantages and disadvantages of the existing intelligent radar fault prediction and detection technology are analyzed,the research progress of this technology in the field of radar maintenance support has been sorted out,possible problems and limitations in radar failure prediction and detection are presented.Aiming at the actual problems and constraints,the future research direction of intelligent radar fault prediction and detection technology are prospected,which can provide a reference for the in-depth research of intelligent fault prediction and fault detection technology in the field of radar maintenance support.
作者 翟玉婷 程占昕 房少军 ZHAI Yuting;CHENG Zhanxin;FANG Shaojun(College of Information Science and Technology,Dalian Maritime University,Dalian,Liaoning 116026,China;Department of Information Systems,Dalian Naval Academy,Dalian,Liaoning 116018,China)
出处 《计算机科学》 CSCD 北大核心 2023年第5期217-229,共13页 Computer Science
基金 国家自然科学基金(51809030)。
关键词 预测与健康管理 故障预测 故障检测 雷达故障 Prognostic and health management Fault prediction Fault detection Radar fault
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