基于灰色模糊与层次分析的多属性飞机维修决策方法

doi:10.7527/S1000-6893.2013.0349

固体力学与飞行器总体设计

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基于灰色模糊与层次分析的多属性飞机维修决策方法

崔建国¹, 傅康毅¹, 陈希成², 齐义文¹, 蒋丽英¹

1. 沈阳航空航天大学自动化学院, 辽宁沈阳 110035;
2. 沈阳飞机设计研究所, 辽宁沈阳 110135

收稿日期:2013-05-02 修回日期:2013-07-23 出版日期:2014-02-25 发布日期:2013-07-31
通讯作者: 崔建国，Tel.：024-89724448 E-mail：gordon_cjg@163.com E-mail:gordon_cjg@163.com
作者简介:崔建国男，博士，教授，硕士生导师。主要研究方向：飞行器健康诊断、预测与综合健康管理，仿真技术与应用等。Tel：024-89724448 E-mail：gordon_cjg@163.com；傅康毅男，硕士研究生。主要研究方向：飞行器健康状态保障决策技术研究，仿真技术与应用等。Tel：024-89724448 E-mail：kangyi_fu@163.com；陈希成男，硕士，研究员。主要研究方向：飞行器设计等。E-mail：peijiana6@126.com；齐义文男，博士，讲师。主要研究方向：超燃冲压发动机无扰切换控制方法研究等。Tel：024-89724448 E-mail：qiyiwen@gmail.com；蒋丽英女，博士，副教授。主要研究方向：飞行器寿命预测及仿真技术研究等。Tel：024-89724448 E-mail：jiangliy@126.com
基金资助:
航空科学基金（2010ZD54012）；国防预研项目（A0520110023）；国防基础科研项目（Z052012B002）

Multiple Attribute Maintenance Decision Making of Aircraft Based on Grey-fuzziness and Analytical Hierarchy Process

CUI Jianguo¹, FU Kangyi¹, CHEN Xicheng², QI Yiwen¹, JIANG Liying¹

1. School of Automation, Shenyang Aerospace University, Shenyang 110035, China;
2. Shenyang Aircraft Design & Research Institute, Shenyang 110135, China

Received:2013-05-02 Revised:2013-07-23 Online:2014-02-25 Published:2013-07-31
Supported by:
Aeronautical Science Foundation of China (2010ZD54012); National Defense Pre-research Foundation (A0520110023); National Defense Basic Research Program (Z052012B002)

摘要/Abstract

摘要：

针对目前飞机在维修保障决策过程中难以科学运用专家知识导致决策不当的问题，以飞机液压系统为具体研究对象，创建了基于灰色模糊与层次分析的多属性飞机维修保障决策模型。针对飞机液压系统健康监测时出现的不同故障模式，由专家知识确定不同故障模式对应的故障征兆是否出现以及出现的显著程度，依据历史故障统计数据、故障机理分析结果和故障征兆出现显著程度这3种不同要素对维修保障决策的影响程度不同，采用层次分析法分别确定3种不同要素的灰色模糊权重。在此基础上，由灰色模糊权重、隶属度、点灰度构建灰色模糊关系矩阵，结合不同专家知识权重，得到灰色模糊综合属性值，再由灰色模糊综合属性值确定飞机液压系统的最优维修决策。研究结果表明，采用所创建的保障决策模型对飞机液压系统进行维修保障决策，所得结果与实际状况相符，证明了所创建保障决策模型的有效性，其具有很好的应用价值与前景。

关键词: 飞机液压系统, 层次分析, 模糊逻辑, 灰色理论, 多属性决策

Abstract:

In the process of aircraft maintenance support decision-making, poor decisions are often made because of the difficulty in making use of expert knowledge. This paper takes the aircraft hydraulic system as an example to establish a multiple attribute maintenance support decision model on the basis of grey-fuzzyiness and analytic hierarchy process. Different failure modes exist in aircraft hydraulic system health monitoring. The appearance of their corresponding fault symptoms and significant degrees are determined by expert knowledge. Historical fault data, fault mechanism analysis results, and the significant degrees of appearance of fault symptoms have different effects on maintenance support decision-making. This paper determines the different grey fuzzy weights for different factors by using the analytic hierarchy process. On this basis, a grey fuzzy relationship matrix is built by grey fuzzy weight, membership, and point greyness. Combined with the expert knowledge weight, the integrated grey fuzzy attribute values can be obtained and the optimal maintenance decision can be determined. This study shows that the maintenance support decision made in this paper is consistent with the actual situation. The modeling is proved valid and it has important value and bright prospects for application.

Key words: aircraft hydraulic system, analytic hierarchy process, fuzzy logic, grey theory, multiple attribute decision making

中图分类号:

崔建国, 傅康毅, 陈希成, 齐义文, 蒋丽英. 基于灰色模糊与层次分析的多属性飞机维修决策方法[J]. 航空学报, 2014, 35(2): 478-486.

CUI Jianguo, FU Kangyi, CHEN Xicheng, QI Yiwen, JIANG Liying. Multiple Attribute Maintenance Decision Making of Aircraft Based on Grey-fuzziness and Analytical Hierarchy Process[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2014, 35(2): 478-486.

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E-mail：hkxb@buaa.edu.cn

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主管单位：中国科学技术协会主办单位：中国航空学会北京航空航天大学

基于灰色模糊与层次分析的多属性飞机维修决策方法

Multiple Attribute Maintenance Decision Making of Aircraft Based on Grey-fuzziness and Analytical Hierarchy Process

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