Subspace-based fault detection algorithms for vibration monitoring

By M. Basseville, M. Abdelghani, Albert Benveniste. at - Automatisierungstechnik, 2000

310 citations recorded by the source corpus.

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A review of vibration-based structural health monitoring with special emphasis on composite materials (2006, methodology): “As a damage indicator, they used the subspace-based fault detection algorithm, based on the work presented by Basseville et al. (2000).”
From Model, Signal to Knowledge: A Data-Driven Perspective of Fault Detection and Diagnosis (2013, methodology): “In [3], the stochastic subspace-based identification method was”
A comparison of linear approaches to filter out environmental effects in structural health monitoring (2018, methodology): “For the third element, different approaches have been borrowed from statistics and machine learning, the most commonly used being control charts [6], outlier analysis using the Mahalanobis squared-distance [7] (which is similar to Hoteling T(2) control charts for individual measurements) or hypothes”