Ontology Construction of Fault Diagnosis Knowledge Graph for Civil Aircraft Maintenance
Maintenance of civil aircraft systems is crucial for ensuring air travel safety. However, managing a large volume of maintenance data can lead to inefficiencies in operation support work. Knowledge graphs are utilized to visualize maintenance manuals and historical fault diagnosis records. Therefore, this paper presents a novel ontology construction approach for fault diagnosis knowledge graphs in civil aircraft maintenance, focusing on event domain, fault domain, and product domain. The ontology construction process follows the “ontology seven-step method.” Finally, several applications, including information retrieval, intelligent question answering, and optimal route recommendation, are implemented using this knowledge graph.
Authors
- Ke Sun (ORCID: https://orcid.org/0000-0002-8311-9909)
- Qingqian Zhou (ORCID: https://orcid.org/0000-0001-5472-6884)
- Huanchun Peng
- Yuanxiang Li (ORCID: https://orcid.org/0000-0002-1797-3621)
- Yini Zhang (ORCID: https://orcid.org/0000-0002-8345-9997)
- Weidong Yang (ORCID: https://orcid.org/0000-0003-3105-5269)
Institutions
- Commercial Aircraft Corporation of China (China) (CN)
- Shanghai Jiao Tong University (CN)
- Fudan University (CN)
- Nanjing University of Aeronautics and Astronautics (CN)
Publication Details
- Published
- 2024-10-11
- DOI
- https://doi.org/10.1109/phm-beijing63284.2024.10874688
- Primary Topic
- Advanced Computational Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00