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

Abstract

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

CLC Number:

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

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