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针对传统维修相关性分类方法未全面考虑维修相关性影响,提出从时间相关性、故障相关性、结构相关性和功能相关性4个方面描述多部件系统的维修相关性,分析了各类相关性对预防性维修成组的影响.在此基础上,将系统预防性维修费用分为不可分摊部分与可分摊部分,以系统维修成本最小化为优化目标建立系统预防性维修任务成组优化模型,并利用生物地理学优化算法确定最佳的系统预防性成组维修方案.模型中将直接维修成组和间接维修成组有机结合起来,实现两种预防性成组策略的优势互补,从而有效地降低系统预防性维修费用.最后通过算例,将模型优化结果与直接维修成组方式的优化结果进行了比较,表明模型的合理性.
In view of the fact that the traditional maintenance correlation classification method does not fully consider the influence of the maintenance correlation, the maintenance correlation of the multi-component system is described from the four aspects of time correlation, fault correlation, structure correlation and function correlation. The correlations of various types On the basis of which, the preventive maintenance costs of the system are divided into an unapportionable part and an apportionable part, a group optimization model of the system preventive maintenance task is established by optimizing the goal of minimizing the system maintenance cost, And the use of biogeography optimization algorithm to determine the best system preventive group repair program.Model directly into the repair group and the indirect repair group organic combination of two preventative group strategy to achieve the advantages of each other effectively in order to effectively Reduce the cost of preventive maintenance of the system.At last, an example is given to compare the result of model optimization with the result of direct maintenance into a group, which shows the rationality of the model.