Deep Learning for Structural Health Monitoring: Data, Algorithms, Applications, Challenges, and Trends

Environmental effects may lead to cracking, stiffness loss, brace damage, and other damages in bridges, frame structures, buildings, etc. Structural Health Monitoring (SHM) technology could prevent catastrophic events by detecting damage early. In recent years, Deep Learning (DL) has developed rapid...

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发表在:	Sensors
Main Authors:	Jing Jia, Ying Li
格式:	文件
语言:	英语
出版:	MDPI AG 2023-10-01
主题:	structural health monitoring deep learning algorithms damage detection data acquisition facilities
在线阅读:	https://www.mdpi.com/1424-8220/23/21/8824