Rapid Response Maintenance Based on Intelligent Early Warning Technology for Health Status of Aviation Equipment

DOI

10.2991/assehr.k.211011.031How to use a DOI?

Keywords

big data, aviation equipment, health status, intelligent early warning, rapid response maintenance

Abstract

On the basis of systematic research on the status quo of rapid response maintenance at home and abroad, this paper constructs a three-in-one MRO rapid response plan for aviation equipment, including fault prediction, early warning and maintenance by using modern information technology such as big data and artificial intelligence, through collecting the relevant data of aviation equipment maintenance support in an all-round way, according to the information collection and fusion of aviation equipment, health evaluation and fault prediction, MRO block chain system and the process of aviation MRO rapid response maintenance based on big data. The plan provides technical guidance for the military to carry out aviation equipment maintenance support.

Copyright

© 2021, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Liming WANG
AU  - Shuli YUAN
AU  - Yang LIU
AU  - Luqing SUN
AU  - Lingzhi WANG
PY  - 2021
DA  - 2021/10/12
TI  - Rapid Response Maintenance Based on Intelligent Early Warning Technology for Health Status of Aviation Equipment
BT  - Proceedings of the 2021 6th International Conference on Modern Management and Education Technology（MMET 2021）
PB  - Atlantis Press
SP  - 176
EP  - 180
SN  - 2352-5398
UR  - https://doi.org/10.2991/assehr.k.211011.031
DO  - 10.2991/assehr.k.211011.031
ID  - WANG2021
ER  -