Multi-parameter Performance Ranking of Aeroengines Based on Fuzzy Information Entropy Method
Jian Liang · 2006
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.