Online Robust Detection of Structural Anomaly Under Environmental Variability via Orthogonal Projection and Noisy Low-Rank Matrix Completion

A long-standing challenge for the structural health monitoring (SHM) community is the masking effect of environmental variability, typically addressed by orthogonal projection (OP)-based data normalization to isolate the influence of environmental variability and enable structural anomaly detection....

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Bibliographic Details

Published in:	Buildings
Main Authors:	Peng Ren, Le Zhou, Heng Zhang, Xiaochu Wang, Wei Li, Peng Niu
Format:	Article
Language:	English
Published:	MDPI AG 2025-10-01
Subjects:	structural health monitoring anomaly detection orthogonal projection noisy low-rank matrix completion low-rank data structure
Online Access:	https://www.mdpi.com/2075-5309/15/20/3749