Rapid Response Maintenance Based on Intelligent Early Warning Technology for Health Status of Aviation Equipment
- 10.2991/assehr.k.211011.031How to use a DOI?
- big data, aviation equipment, health status, intelligent early warning, rapid response maintenance
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.
- © 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/).
Cite this article
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 -