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应用科学学报 ›› 2006, Vol. 24 ›› Issue (3): 288-292.

• 论文 • 上一篇    下一篇

航空发动机多指标模糊信息熵的性能排序研究

张海军, 左洪福, 梁剑   

  1. 南京航空航天大学民航学院, 江苏南京 210016
  • 收稿日期:2004-12-22 修回日期:2005-04-07 出版日期:2006-05-31 发布日期:2006-05-31
  • 作者简介:张海军,博士生,研究方向:民航维修、故障诊断,E-mail:zhanghaijun2002@126.com;左洪福,教授,博导,研究方向:航空安全与保障技术、维修工程,E-mail:rms@nuaa.edu.cn

Multi-parameter Performance Ranking of Aeroengines Based on Fuzzy Information Entropy Method

ZHANG Hai-jun, ZUO Hong-fu, LIANG Jian   

  1. College of Civil Aviation, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China
  • Received:2004-12-22 Revised:2005-04-07 Online:2006-05-31 Published:2006-05-31

PDF

68

被引次数

14

摘要： 依据状态监控信息对民航发动机进行性能排序,可以及时了解发动机性能衰减程度及梯次差异,从而便于制定最优维修计划,达到降低维修费用的目的,因此已成为提高机队管理质量的重要手段.目前航空公司机队管理中对多指标性能排序问题还缺乏科学的方法.该文基于模糊等价聚类和粗糙集理论中的属性信息熵方法,对该类权重信息完全未知的多指标风险决策问题进行理论建模,得到求取各指标综合权重的算法,并举例验证了该算法的客观有效性.

关键词: 民航发动机, 性能排序, 模糊理论, 多指标, 信息熵

Abstract: Performance ranking of civil aviation engine based on surveillance information can provide the degree of engine deterioration and stagger difference, make optimal maintenance plan, and reduce maintenance cost.Therefore it has become a critical issue in improving fleet management.However rational methods for evaluating engine's overall performance in civil aviation management are unavailable.This paper establishes a theoretical model and proposes an algorithm to distribute all parameter weights based on a fuzzy equivalent aggregation technique and attribute information entropy of rough set theory when multi-attribute weight information are unknown.As an example, the algorithm has been verified in performance ranking of ten CF6 engines from a civil aviation company.The result shows that the method is objective and effective.

Key words: multi-parameter, aeroengine, performance ranking, fuzzy theory, information entropy

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