Abstract
Aeroengine is a complex system, which is controlled by a number of interrelated factors and is difficult to estimate. To overcome the obstacles of conventional health assessment of aeroengine, this paper proposed an effectiveness evaluation method for aeroengine health assessment which combined the advantages of the analytic hierarchy process (AHP) and a grey clustering method to guarantee the accuracy and objectivity of weight coefficients. After constructing an index system of aeroengine health assessment based on correlated factors involved in aeroengine health status, we confirmed the weight of every index with AHP and gave a general health assessment by means of a grey clustering method. A case study was conducted to validate the design of the underlying grey analytic hierarchy process (GAHP) model. Running results show the feasibility and reliability of the model, which will be helpful to realize the quantitative analysis in aeroengine health assessment and provide a decision support tool for decision makers.
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