基于故障树的远程故障诊断任务分解和决策方法  

Research on Remote Fault Diagnosis Task Decomposition and Decision Approach Based on Fault Tree

作　　者：李俊杰[1] 乔建军 王尧 张强[1] 尹志林 刘媛[1] Li Junjie;Qiao Jianjun;Wang Yao;Zhang Qiang;Yin Zhilin;Liu Yuan(Beijing Aerospace Measurement&Control Technology Co.,Ltd.,Beijing 100041,China;Troop 96901,Beijing 100094,China;Beijing Institute of Mechanical and Electrical Engineering,Beijing 100074,China)

机构地区：[1]北京航天测控技术有限公司,北京100041 [2]中国人民解放军96901部队,北京100094 [3]北京机电工程研究所,北京100074

出　　处：《计算机测量与控制》2020年第7期45-49,54,共6页Computer Measurement &Control

摘　　要：远程故障诊断对提高飞机飞行安全、降低诊断和维护成本、建立更好的飞机维护环境具有重要作用,在远程故障诊断过程中,面对复杂的诊断任务和冗余、不确定的决策如何做出合理的任务分解和最优的诊断决策是个重要的研究课题;为提高诊断效率和可靠性,提出了一种基于故障树模型的任务分解与决策融合方法;首先,描述了多资源远程诊断任务分解问题;其次,建立了基于故障树最小割集的诊断任务分解机制;最后,提出了基于D-S证据理论的决策级信息融合方法,并通过实际算例验证了任务分解和决策方法的可行性。Remote fault diagnosis(RFD)is of great importance in improving the flight safety,reducing cost of diagnosis and maintenance and establishing a better environment for aircraft maintenance.During the process of remote fault diagnosis,how to make reasonable task decomposition towards complex diagnosis task and how to make the optimal diagnosis decision on redundant or uncertain decisions are vital research issues.To improve the diagnosis efficiency and reliability,the task decomposition and decision approach based on fault tree is proposed.First,RFD task decomposition of multi-resource is descripted in this paper.Then fault tree based minimal cut set is put forward to decompose the complicate RFD task into some smaller executable subtasks.Finally we present decision-level information fusion approach based on Dempster-Shafer(D-S)evidential theory.The examples analysis are given to demonstrate the effectiveness of our approach.

关 键 词：远程故障诊断 最小割集 D-S证据理论 信息融合 

分 类 号：V556.1[航空宇航科学与技术—人机与环境工程]