基于图论的深空探测航天器故障可诊断性评价

Fault diagnosability evaluation of deep space exploration spacecraft based on graph theory

中文关键词  深空探测航天器  故障可检测性  故障可分离性  解析冗余关系  图论

英文关键词  Deep space exploration spacecraft  Fault detectability  Fault isobility  Analytical redundant relationship  Graph theory

中文摘要

      为了衡量深空探测航天器的自主故障诊断能力，提出基于图论的故障可诊断性评价方法。在对加权有向图进行介绍的基础上，给出可强推导结点、依赖于故障的可推导结点以及解析冗余结点等定义；分别提出故障可检测性和可分离性判据并给出相关证明，考虑深空探测航天器的资源约束问题，研究解析冗余关系优选方法；分析深空探测航天器的故障诊断层次，并对系统级故障诊断能力进行评价；最后，利用深空探测航天器的数学仿真数据对所提方法的有效性进行验证。

英文摘要

      In order to measure the autonomous fault diagnosis capability of deep space exploration spacecraft, a graph-based fault diagnosability evaluation method is proposed. Based on the introduction of the weighted directed graph, the definitions of strong derivable nodes, fault-dependent derivable nodes, and analytical redundant nodes are given. And then,the fault detectability and isobility criteria are proposed respectively,as well as the relevant proofs. Considering the resource constraint problem of deep space exploration spacecraft,the optimization method about the analytical redundant relationship is studied. The fault diagnosis level of deep space exploration spacecraft is analyzed, and the system level fault diagnosis capability is evaluated. Finally, the effectiveness of the proposed method is validated by the simulation data of the deep space exploration spacecraft.