Reliability assessment for multi-source data of mechanical parts of civil aircraft based on the model

Abstract

In view of the abnormal, missing and multi-source reliability data, a complete reliability data processing method for civil machinery parts are formed. The abnormal data in the original reliability data set is screened out by Pauta criterion. The vacant data is supplemented by linear interpolation. Each subjective index weight of multi-source data is determined by analytic hierarchy process (AHP) and Euclidean distance. Each objective index weight is determined by the discrete degree of the index weight. The comprehensive reliability model about a certain mechanical part with multi-source data is established and validated to be practical through case analysis. The proposed method obtains more accurate assessment of part reliability, and is thus valuable for the safe operation and maintenance of civil aircraft.