粗糙云模型与PROMETHEE的航发主轴轴承失效模式重要度评估  

Rough Cloud Model and PROMETHEE Failure Mode Importance Evaluation for Aeroengine Spindle Bearings

作　　者：牛凯岑 邱明[1,2] 李军星 许艳雷 李燕科 NIU Kaicen;QIU Ming;LI Junxing;XU Yanlei;LI Yanke(School of Mechatronics Engineering,Henan University of Science and Technology,Luoyang 471003,He'nan,China;Henan Collaborative Innovation Center for Advanced Manufacturing of Mechanical Equipment,Luoyang 471003,He'nan,China)

机构地区：[1]河南科技大学机电工程学院,河南洛阳471003 [2]机械装备先进制造河南省协同创新中心,河南洛阳471003

出　　处：《机械科学与技术》2022年第12期1965-1972,共8页Mechanical Science and Technology for Aerospace Engineering

基　　金：国家重点研发计划项目(2019YFB2004403)。

摘　　要：针对目前航空发动机主轴轴承关键失效模式确定困难的问题,提出了一种粗糙云模型与偏好顺序结构评估(PROMETHEE)的航发主轴轴承失效模式重要度评估方法。结合失效模式与影响分析(FMEA)方法,通过专家系统构建主轴轴承各失效模式的风险评估矩阵;运用粗糙集理论与云模型理论,将风险评估矩阵转换为粗糙云评估矩阵,描述专家评价信息中存在的主观性、模糊性和随机性问题;运用PROMETHEE计算各失效模式的流出量、流入量与净流量,根据净流量的大小对航发主轴轴承的6种失效模式进行风险排序,为制定预防措施和降低风险提供可靠依据。In order to solve the problem that it is difficult to determine the critical failure mode of aeroengine spindle bearing,a method of failure mode importance evaluation for aeroengine spindle bearing based on rough cloud model and preference ranking organization method for enrichment evaluation(PROMETHEE) is proposed in this study. Combined with the failure mode and effects analysis(FMEA) method, the risk assessment matrix of each failure mode of spindle bearing was first constructed by expert system.Using rough set theory and cloud model theory, the risk assessment matrix was then transformed into rough cloud assessment matrix to describe the subjectivity, fuzziness and randomness of expert assessment information.After using PROMETHEE to calculate the leaving, entering and net flow of each failure mode, the six failure modes of aeroenginespindle bearing were ranked according to the net flow, providing a reliable basis for formulating preventive measures and reducing risks.

关 键 词：失效模式与影响分析 粗糙集 云模型 偏好顺序结构评估 航空发动机主轴轴承 

分 类 号：X931[环境科学与工程—安全科学] V46[航空宇航科学与技术—航空宇航制造工程]