基于实例推理与多Agent架构的雷达智能故障分析系统研究  

Research on Radar Intelligent Fault Analysis System Based on Case-based Reasoning and Multi-Agent Architecture

作　　者：陈靖宇 CHEN Jingyu(The 723 Institute of CSSC,Yangzhou 225101,China)

机构地区：[1]中国船舶集团有限公司第七二三研究所,江苏扬州225101

出　　处：《舰船电子对抗》2024年第6期60-64,共5页Shipboard Electronic Countermeasure

摘　　要：结合Agent的基本结构和特性,提出了一种基于实例推理与多Agent架构的雷达智能故障分析系统总体设计。该系统中的各Agent都具有独立故障分析能力以及与其他Agent的协作能力。基于实例推理可以不依赖于专家的经验知识,依靠其自身具有的学习机制,这对于提高雷达维修保障能力均具有重要意义。Combining the basic structure and characteristics of Agents,this paper proposes an overall design of a radar intelligent fault analysis system based on case-based reasoning and multi-Agent architecture.Each Agent in the system has independent fault analysis ability and collaboration ability with other agent.Case-based reasoning does not rely on expert s experience knowledge and has its own learning mechanism,which is of great significance for improving radar maintenance and support capabilities.

关 键 词：实例推理 多Agent架构 人工智能 智能故障诊断 

分 类 号：TN956[电子电信—信号与信息处理]