Unsupervised Data Anomaly Detection Based on Spatio-Temporal Sparse Integration Framework

Abstract

AbstractData anomaly detection plays a pivotal role in structural health monitoring (SHM), enabling reliable and accurate assessment of structural condition. This paper proposes an unsupervised anomaly detection method based on the spatio-temporal sparse ...