Abstract
For airlines, a scientific and effective method for engine maintenance decision-making should be developed for the planning of aero engine maintenance and removal. The mathematical modelling method of maintenance decision-making for civil aero engines based on the currently widely used condition-based maintenance (CBM) strategy was mainly studied in this work, and the effects of multiple state parameters on the system operation were fully considered. Based on historical data for aero engine removal due to performance degradation, statistical regression modelling was used to establish a mathematical model of maintenance decision-making that can reflect a functional relationship between the engine state parameters and the time on wing. The model was based on the proportional hazards-proportional odds (PH-PO) model, combining two commonly used statistical regression models, the proportional hazards model (PHM) and the proportional odds model (POM), into a single new model form; as a result, the scope of application of the model was improved. Finally, the results of a case study of a specific example showed the high practical value of this method.
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