Logo IOMI
首页 新闻 研究 人员 加入我们 隐私政策 EN
EN
IOMI
首页 新闻 研究 人员 加入我们 隐私政策 搜索 登录
IOMI
云南省教育厅基础设施智能运维科技创新团队

The state of the art of data science and engineering in structural health monitoring

发表于 2023-12-01
Structural Health MonitoringData ReconstructionData EngineeringData ProcessingData CompressionData AcquisitionData ScienceAnomaly DetectionSHM

Abstract:Structural health monitoring(SHM) is a multi-discipline field that involves the automatic sensing of structural loads and response by means of a large number of sensors and instruments, followed by a diagnosis of the structural health based on the collected data. Because an SHM system implemented into a structure automatically senses, evaluates, and warns about structural conditions in real time, massive data are a significant feature of SHM. The techniques related to massive data are r

论文信息

期刊Engineering

详细内容

附件

img_0.webp
WEBP65.6 KB
cover.webp
WEBP14.4 KB

外部链接

Structural health monitoring deep learning crack identification computer vision machine learning algorithms Paper link

IOMI

云南省教育厅基础设施智能运维科技创新团队

Intelligent Infrastructure Operation and Maintenance Technology Innovation Team of the Yunnan Provincial Department of Education

滇ICP备2023005791

快速链接

研究 人员 加入我们

更多

隐私政策 订阅与站点地图 登录

相关链接

昆明理工大学 昆明理工大学建筑工程学院