Research on the Health Intelligent Management System of Large Wind Tunnel. (October 2020)

• Record Type: Journal Article
• Authors: Zhang, Hao; Liu, Zongzheng; Liao, Wenlin; Chen, Xiaoguang; Chen, Zhenhua
• Is Part Of: Journal of physics. Volume 1626(2020)
• Publication Date: 2020-10
• Subjects: Health intelligent management -- Artificial intelligence -- Large wind tunnel -- Virtual reality; Physics -- Congresses; 530.5
• DOI: 10.1088/1742-6596/1626/1/012118
• Languages: English
• ISSNs: 1742-6588

Abstract

Abstract: In the national major projects, health management of key infrastructure has been paid more and more attention. Wind tunnel is a national strategic infrastructure. The health management system is of great significance to promote the safe, efficient and reliable operation of large-scale wind tunnel. In order to establish a wind tunnel health intelligent management system, it is necessary to realize the dynamic state monitoring, intelligent fault diagnosis, intelligent fault prediction, independent maintenance support and integrated equipment management. Facing the great demand of designing and constructing the world's top wind tunnels, this paper makes an exploratory research on the health intelligent management system of large wind tunnel. By means of data mining, machine learning and virtual reality, the health management system can have the ability of self-study and self-improvement. So as to realize the development of the health management of wind tunnel to the depth intelligent.