基于故障树与BAM网络的卫星地面站接收系统故障诊断方法

Fault Diagnosis Method for Satellite Ground Station Receiving System Based on Fault Tree and BAM Network

针对卫星地面站接收系统传统故障诊断过程复杂,对排故人员专业素质要求较高的问题,提出一种基于故障树和双向联想记忆(bidirectional associative memory,BAM)网络的智能故障诊断方法。通过故障树分析法构建地面站接收系统的故障树,收集地面站接收系统的全部故障模式,整理归纳出BAM网络的学习样本,通过联想记忆矩阵并行联想,得到系统诊断结果。仿真结果表明,采用集成智能诊断方法是有效的,能准确地定位故障源。

Considering the complexity of the traditional fault process diagnosis of the satellite ground station receiving system,and the high requirement of the professional quality of the maintenance personnel,this paper proposes an intelligence fault diagnosis method based on fault tree and bidirectional associative memory （BAM） network.The failure tree analysis method is used to construct the fault tree of the receiving system of the ground station,collect all the failure modes of the receiving system of the ground station,summarize the learning samples of the BAM network,and then obtain the system diagnosis result by associating the associative memory matrix in parallel.The simulation results show that the integrated intelligent diagnosis method is effective and can locate the fault source accurately.