基于模糊Petri网的机载蒸发循环系统故障诊断方法  

Fault Diagnosis Method of Airborne Evaporation Cycle System Based on Fuzzy Petri Net

作　　者：杨昌宝[1] 刘硕[2] 李科[2] 朱子瑞 徐亮 张小恺 Yang Changbao;Liu Shuo;Li Ke;Zhu Zirui;Xu Liang;Zhang Xiaokai(AVIC Jincheng Nanjing Engineering Institue of Aircraft Systems,Nanjing 210000,China;Nanjing University of Aeronautics and Astronautics,Nanjing 210016,China;The Third Military Representative Office of Air Force Equipment Department,Nanjing 210000,China)

机构地区：[1]航空工业金城南京机电液压工程研究中心,江苏南京210000 [2]南京航空航天大学,江苏南京210016 [3]空军装备部驻南京地区第三军事代表室,江苏南京210000

出　　处：《航空科学技术》2021年第3期49-54,共6页Aeronautical Science & Technology

基　　金：航空科学基金(20172852021,201928052008)。

摘　　要：针对机载蒸发循环系统多层次、相关性的故障特征,本文提出了基于模糊Petri网的机载蒸发循环系统故障诊断方法。根据故障的失效模式与效应分析(FMEA)表以及模糊故障Petri网(FFPN)建模规则,通过对系统的功能、模块划分以及对故障数据进行分析,建立了机载蒸发循环控制系统的故障模型。根据此模型,采用模糊集理论描述了故障的模糊程度,应用Petri网理论反映故障的层次变迁及竞争关系。在此基础上,对冷凝器、蒸发器故障进行正向演绎状态评价和反向故障诊断推理。最后,通过仿真验证了该方法的可行性和有效性。Aiming at the multi-level and correlation fault characteristics of the airborne vapor cycle system,this paper proposes a fault diagnosis method based on fuzzy Petri net.According to fault FMEA table and FFPN modeling rules,the fault model of evaporative cycle control system is established by analyzing the system function,module division and fault data.According to the model,the forward deductive state evaluation and reverse fault diagnosis reasoning are carried out for the faults of condenser and evaporator.Among them,the fuzzy degree of fault is described by fuzzy set theory,and the hierarchical change and competition relationship of fault are reflected by Petri net theory.Finally,the feasibility and effectiveness of the method are verified by simulation.

关 键 词：故障诊断 机载蒸发循环系统 模糊PETRI网 正向/反向推理 模糊集理论 

分 类 号：V245[航空宇航科学与技术—飞行器设计]