@inproceedings{a8c1d9a59deb439bb9f3edb8532bb28e,
title = "Research on Dynamic Maintenance Strategy of Complex Equipment System",
abstract = "In recent years, the complex equipment system presents the rapid development of integration and intelligence, and it is easy to break down when it works in bad environment for a long time. The maintenance support ability and comprehensive maintenance economic benefit of the complex equipment system play an important role in the defense ability. Therefore, in order to improve the combat readiness of equipment, solve the current situation of economic loss and low operation ability caused by insufficient or excessive maintenance. In this paper, a dynamic maintenance strategy for complex equipment system is proposed. The goal of this maintenance strategy is to minimize the average cost in a short period of time,to update the running state of the system and the execution time of fault maintenance in real time. Finally, the effectiveness of the dynamic maintenance strategy proposed in this paper is verified by the analysis of maintenance model parameters. The dynamic maintenance strategy proposed in this paper considers the operation state and economic cost of complex equipment system, which is more applicable to practical engineering application.",
keywords = "average cost, complex equipment system, dynamic maintenance strategy, minimize, real-time",
author = "Yingshun Li and Aina Wang and Xiaojian Yi",
note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 11th International Conference on Prognostics and System Health Management, PHM-Jinan 2020 ; Conference date: 23-10-2020 Through 25-10-2020",
year = "2020",
month = oct,
doi = "10.1109/PHM-Jinan48558.2020.00043",
language = "English",
series = "Proceedings - 11th International Conference on Prognostics and System Health Management, PHM-Jinan 2020",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "204--209",
editor = "Chuan Li and Dejan Gjorgjevikj and Zhe Yang and Ziqiang Pu",
booktitle = "Proceedings - 11th International Conference on Prognostics and System Health Management, PHM-Jinan 2020",
address = "United States",
}