基于贝叶斯网络的复杂装备维修质量评价模型

发布时间：2018-02-15 08:52

本文关键词： 复杂装备维修质量评价贝叶斯网络熵权改进模糊综合评价指标体系　出处：《系统工程与电子技术》2017年03期 　论文类型：期刊论文

【摘要】：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复杂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,并给出了模型的具体求解步骤。最后,通过算例仿真与分析对提出的方法进行了验证。结果表明,提出的方法能够在一定程度上解决复杂装备的维修质量评价问题,为完善复杂装备的维修质量评价理论提供了借鉴。
[Abstract]:In view of the problem that the influencing factors of maintenance process are ignored in the current equipment maintenance quality evaluation, the process evaluation index system is regarded as the prior knowledge of the post-repair evaluation index system. A complex equipment maintenance quality evaluation model based on Bayesian network is constructed. Firstly, a process evaluation index system and a post-repair evaluation index system are established, and each index is analyzed briefly. The Bayesian network model of maintenance quality evaluation is established, the priori probability of root node is determined by the improved fuzzy comprehensive evaluation method, and the conditional probability of sub-node is determined by expert experience method. Finally, the proposed method is verified by numerical simulation and analysis. The results show that the proposed method can solve the problem of maintenance quality evaluation of complex equipment to some extent. It provides reference for perfecting the theory of maintenance quality evaluation of complex equipment.
【作者单位】：空军预警学院;中国人民解放军93502部队;南部战区空军装备部;
【基金】：国家部委项目(KJ2014023200B11145) 博士研究生专项课题(2014JY546)资助课题
【分类号】：TP18

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