Ontology of Improving Aircraft Maintenance Planning Based on Model-Based Systems Engineering

Abstract

The objective of this research is to propose an ontology of information which is used to improve aircraft maintenance planning including predictive maintenance based on the MBSE (model-based systems engineering) approach. The proposed ontology captures the concept and the relationships that exist across multiple stages of the life cycle of civil aircraft maintenance. Recently, a data-driven aircraft health management method has been introduced to improve the efficiency of maintenance planning. However, it takes several years to a decade to obtain sufficient maintenance result outcome data after the aircraft enters service. By using the proposed ontology, valuable information can be extracted even when the amount of data is relatively small. In this paper, examples of causal relationships of problems extracted from the described model based on the proposed ontology are shown. This result is expected to be used for maintenance planning optimization.