Research on application of knowledge graph for aircraft maintenance

Aircraft maintenance technology is related to flight safety. It is not only a significant guarantee for the safety of passengers’ lives and property but also an important means for airlines to reduce costs and improve profitability. This paper focuses on aircraft maintenance decision-making, analyze...

Full description

Bibliographic Details
Main Authors: Siwen Yue, Le Xiao, Jiaxin Li, Nan Wang
Format: Article
Language:English
Published: SAGE Publishing 2022-07-01
Series:Advances in Mechanical Engineering
Online Access:https://doi.org/10.1177/16878132221107429
_version_ 1818163182201470976
author Siwen Yue
Le Xiao
Jiaxin Li
Nan Wang
author_facet Siwen Yue
Le Xiao
Jiaxin Li
Nan Wang
author_sort Siwen Yue
collection DOAJ
description Aircraft maintenance technology is related to flight safety. It is not only a significant guarantee for the safety of passengers’ lives and property but also an important means for airlines to reduce costs and improve profitability. This paper focuses on aircraft maintenance decision-making, analyzes the current situation and defects of maintenance decision-making, applies knowledge graph technology to this field, and constructs aircraft maintenance knowledge graph; through the character analysis of sample data and experimental comparison, the key factors affecting the accuracy of aircraft maintenance decisions are found; few-shot knowledge reasoning technology is introduced to improve the maintenance strategy reasoning algorithm. In the 737NG aircraft maintenance decision-making system of an airline, the feasibility and effectiveness of the method are verified, which provides strong support for flight safety.
first_indexed 2024-12-11T16:45:29Z
format Article
id doaj.art-c749649cf68549eab5c16c4ce48da52b
institution Directory Open Access Journal
issn 1687-8140
language English
last_indexed 2024-12-11T16:45:29Z
publishDate 2022-07-01
publisher SAGE Publishing
record_format Article
series Advances in Mechanical Engineering
spelling doaj.art-c749649cf68549eab5c16c4ce48da52b2022-12-22T00:58:14ZengSAGE PublishingAdvances in Mechanical Engineering1687-81402022-07-011410.1177/16878132221107429Research on application of knowledge graph for aircraft maintenanceSiwen YueLe XiaoJiaxin LiNan WangAircraft maintenance technology is related to flight safety. It is not only a significant guarantee for the safety of passengers’ lives and property but also an important means for airlines to reduce costs and improve profitability. This paper focuses on aircraft maintenance decision-making, analyzes the current situation and defects of maintenance decision-making, applies knowledge graph technology to this field, and constructs aircraft maintenance knowledge graph; through the character analysis of sample data and experimental comparison, the key factors affecting the accuracy of aircraft maintenance decisions are found; few-shot knowledge reasoning technology is introduced to improve the maintenance strategy reasoning algorithm. In the 737NG aircraft maintenance decision-making system of an airline, the feasibility and effectiveness of the method are verified, which provides strong support for flight safety.https://doi.org/10.1177/16878132221107429
spellingShingle Siwen Yue
Le Xiao
Jiaxin Li
Nan Wang
Research on application of knowledge graph for aircraft maintenance
Advances in Mechanical Engineering
title Research on application of knowledge graph for aircraft maintenance
title_full Research on application of knowledge graph for aircraft maintenance
title_fullStr Research on application of knowledge graph for aircraft maintenance
title_full_unstemmed Research on application of knowledge graph for aircraft maintenance
title_short Research on application of knowledge graph for aircraft maintenance
title_sort research on application of knowledge graph for aircraft maintenance
url https://doi.org/10.1177/16878132221107429
work_keys_str_mv AT siwenyue researchonapplicationofknowledgegraphforaircraftmaintenance
AT lexiao researchonapplicationofknowledgegraphforaircraftmaintenance
AT jiaxinli researchonapplicationofknowledgegraphforaircraftmaintenance
AT nanwang researchonapplicationofknowledgegraphforaircraftmaintenance