基于贝叶斯网络的雷达装备维修质量评价

Assessment of Maintenance Quality of Radar Equipment Based on Bayesian Network

针对当前装备维修质量评价忽视维修过程影响因素这一问题,将过程评价指标体系作为修后评价指标体系的先验知识,构建了一种基于贝叶斯网络的雷达装备维修质量评价模型。首先,建立了过程评价指标体系和修后评价指标体系,并对各项指标进行了简要分析。然后,建立了维修质量评价的贝叶斯网络模型,通过改进的模糊综合评价方法确定了根节点的先验概率,通过专家经验法确定了子节点的条件概率,并给出了模型的详细求解过程。最后,通过仿真实验对所提方法进行验证。结果表明,该方法能够在一定程度上解决雷达装备的维修质量评价问题,为完善雷达装备的维修质量评价理论提供了有效途径。

The influence factors in repair process are usuMly ignored in maintenance quality assessment. This paper proposed a maintenance quality assessment metliod for radar equipment,based on Bayesian network by taking the procedural indicator sys-tem as a prior knowledge of the repaired indicator system. Firstly,the procedural and repaired indicator systems are built and simple analysis of the indexes is given. Secondly,a maintenance quality assessment model based on Bayesian network is estab-lished , and the prior probability and conditional probability are also confirmed by improved fuzzy comprehensive evaluation meth-od and expert experience method,respectively. Finally,simulations and analysis of one instance are given to verify the effective-ness of the proposed method. Results show that the proposed method can solve the problem of maintenance quality assessment for radar electronic equipment to a certain extent,and hence it can serve as a theoretical reference to improve the maintenance quali-ty assessment theory.