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Updated: May 20, 2025

Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data
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Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data

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在不受控制的结构健康监测中,基于PCA重建检测异常的最佳主要组件和测量间隔选择

Kang Yang1, Kang Gao1, Junkai Zhou1

  • 1Department of Electrical and Computer Engineering, University of Florida, Gainesville, 32608, FL, USA.

Ultrasonics
|March 25, 2025
PubMed
概括

本研究介绍了用于结构健康监测PCA重建中选择最佳主要组件和测量间隔的策略. 研究结果显示,重建系数的变化有效地指导了这些选择,减少了损坏检测中的错误报警.

关键词:
大数据就是大数据.环境条件 环境条件导向波是指导的波.测量间隔的时间间隔.主要组件分析的主要组件分析.结构性健康监测 结构性健康监测

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