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D-S evidence theory based maintenance evaluation under the situation of limited samples

机译:有限样本情况下基于D-S证据理论的维修评估

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In the process of aero-equipment design and manufacturing, mean time to repair (MTTR) is one of important maintainability parameters and it is required to conduct maintenance evaluation so as to verify equipment maintainability requirement. According GJB 2072 and MIL-STD-471 for aero-equipment maintenance evaluation, the number of samples should be no less than 30. However, it is almost impossible to obtain enough samples from field verification. It is necessary to utilize experimental data collected from laboratory environment as supplementary. By considering the differences between on field and laboratory data, this paper proposes a D-S evidence theory based maintenance integrated evaluation method to realize information fusion. The fused data can further be used for aero-equipment maintainability verification.
机译:在航空设备的设计和制造过程中,平均维修时间(MTTR)是重要的可维护性参数之一,需要进行维护评估以验证设备的可维护性要求。根据GJB 2072和MIL-STD-471进行的航空设备维护评估,样本数量应不少于30个。但是,从现场验证中获取足够的样本几乎是不可能的。有必要利用从实验室环境收集的实验数据作为补充。通过考虑现场数据与实验室数据之间的差异,提出了一种基于D-S证据理论的维修综合评价方法,以实现信息融合。融合后的数据可以进一步用于航空设备的可维护性验证。

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