Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Research on Construction and Application of Aircraft Fault Knowledge Graphs

Version 1 : Received: 27 April 2023 / Approved: 28 April 2023 / Online: 28 April 2023 (08:00:31 CEST)

A peer-reviewed article of this Preprint also exists.

Tang, X.; Chi, G.; Cui, L.; Ip, A.W.H.; Yung, K.L.; Xie, X. Exploring Research on the Construction and Application of Knowledge Graphs for Aircraft Fault Diagnosis. Sensors 2023, 23, 5295. Tang, X.; Chi, G.; Cui, L.; Ip, A.W.H.; Yung, K.L.; Xie, X. Exploring Research on the Construction and Application of Knowledge Graphs for Aircraft Fault Diagnosis. Sensors 2023, 23, 5295.

Abstract

When an aircraft malfunctions, quickly and accurately identifying the faulty unit is essential for ensuring normal operation. Unfortunately, maintenance engineers often struggle to acquire the necessary fault-related knowledge due to poor management and utilization of aircraft fault documents. To address this issue, we introduce knowledge graph technology into the field of aircraft fault diagnosis, exploring its construction and application for effective knowledge management. Our work starts by analyzing the critical knowledge elements required for aircraft fault diagnosis and designing a schema layer for fault knowledge graphs. We then we then combine deep learning and heuristic rules to extract fault knowledge from both structured and unstructured data, enabling the construction of aircraft fault knowledge graphs. Finally, we develop a fault question-answering system based on fault knowledge graphs that can accurately give solutions to questions posed by maintenance engineers. Our practice demonstrates that knowledge graphs provide an effective means of managing aircraft fault knowledge, assisting engineers in locating fault reasons accurately and quickly.

Keywords

Aircraft fault diagnosis; knowledge graph; deep learning; fault knowledge extraction; question-answering system

Subject

Engineering, Safety, Risk, Reliability and Quality

Comments (0)

We encourage comments and feedback from a broad range of readers. See criteria for comments and our Diversity statement.

Leave a public comment
Send a private comment to the author(s)
* All users must log in before leaving a comment
Views 0
Downloads 0
Comments 0
Metrics 0


×
Alerts
Notify me about updates to this article or when a peer-reviewed version is published.
We use cookies on our website to ensure you get the best experience.
Read more about our cookies here.