Prediction of maintenance hours based on maintenance scenarios

Abstract

Maintenance time is one of the important parameters that affect maintenance costs, and is a factor in evaluating whether civil aircraft can be repaired quickly and economically, comprehensively reflecting the level of maintainability design. The study in this article is based on the analysis of maintenance scenarios across the entire system by identifying typical maintenance modes and their decomposition actions. At the same time, the concept of degree division and recognition principles are introduced to establish a maintenance time prediction table. The aim is to scientifically and reasonably predict maintenance time during the aircraft design stage, identify improved designs that can reduce maintenance costs, reduce the consumption of maintenance resources, improve maintenance efficiency, and ultimately achieve the goal of reducing the entire life cycle cost of the aircraft. Finally, a case study of maintenance time for a certain aircraft scheduled maintenance scenario was conducted using the prediction table, the main factors affecting maintenance time are analyzed, and directions for optimizing design are proposed.