文档介绍：基于多Agent协同诊断的飞机液压系统
综合监控技术
摘要:通过对智能化诊断技术的研究,提出将人工智能多智体(Agent)技术应用于飞机液压系统综合监控系统中。构建了基于多种油样分析的多智体协同诊断专家系统方案,并开发了飞机液压系统状态监控专家系统(AHMES1·0),应用于飞机液压系统的磨损故障监控。专家系统由污染分析Agent、理化分析Agent、铁谱分析Agent、光谱分析Agent、融合诊断Agent及综合诊断Agent构成,综合诊断Agent负责控制和管理其他Agent进行协同诊断。根据飞机液压系统诊断的实际情况,给出了各Agent的诊断规则。最后用实际的故障案例进行了验证,表明了多智体协同诊断的有效性。
关键词:多智体;飞机液压系统;综合监控;故障诊断;专家系统
Integrated Monitoring Technology for Aircraft Hydraulic System
Based on Multi-agent Collaborative Diagnosis
XIAO chunhui
(School of Mechatronics Engineering and Automation, Shanghai University, Shanghai 200072, China)
Abstract: Through the study of intelligent diagnostic technology, artificial intelligence multi-agent technology is used in aircraft hydraulic system integrated monitoring and control system. A multi-agent collaborative diag-nosis expert system is built based on multi-oil analysis, and the aircraft hydraulic system condition monitoring expert system () is developed and applied to the wear fault monitoring of aircraft hydraulic sys-tem. The expert system posed of contamination analysis agent, physicochemical analysis agent, ferro-graph analysis agent, spectrometric analysis agent, fusion diagnosis agent and integrated diagnostic agent. In-tegrated diagnostic agent is responsible for the control and management of other agents for the cooperation diagnosis. What’s more, according to the actual situation of aircraft hydraulic system diagnosis, each agent diagnosis rule is given. Finally, the test results of the actual fault case show the effectiveness of the multi-agent diagnosis.
Key words: Wind turbine; generator; control system
随着计算机及分布式人工智能(DAI)技术的发展,现代监测与诊断技术已发展到以知识处理为基础的智能化诊断。目前,在智能化诊断实现中最具有潜力的方法就是基于多智体(Agent)的智能诊断技术。由于多Agent系统是一个具有自主性、反应性、主动性和社会性的计算机系统,通常还具有人类的智能特性,其具有强的环境适应性,能够提高故障诊断的准确率,因此基于多Agent的诊断技术成为现在智能故障诊断研究的一个发展方向。
飞机液压系统是飞机的重要组成部分,主要是给飞机操纵系统、起落架系统和反推装置等提供操纵动力。飞机液压系统故障将影响飞机的正常运行,严重时将导致灾难性的飞行事故。因此利用油样分析对液压系统固体污染物和磨损状态进行监控对于预防飞机液压系统重大故障、提高液压元件的使用寿命、降低飞机全寿命成本具有重要意义。目前,关于液压系统的磨损故障诊断,主要包括基于