D-S Evidence Theory based Maintenance Evaluation Under the Situation of Limited Samples

被引：0
|
作者：
Liu, Liu [1 ]
Miao, Qiang [1 ]
Feng, Yuan [2 ]
机构：
[1] Univ Elect Sci & Technol China, Sch Mechatron Engn, Chengdu 611731, Peoples R China
[2] Inst Aero equipment, Beijing, Peoples R China
来源：
2010 PROGNOSTICS AND SYSTEM HEALTH MANAGEMENT CONFERENCE | 2010年
基金：
中国国家自然科学基金; 高等学校博士学科点专项科研基金; 中国博士后科学基金;
关键词：
MTTR; Maintenance Integrated Evaluation; Evidence Theory; Information Fusion;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
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.
引用
收藏
页码：481 / +
页数：3
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