A comparison of linear approaches to filter out environmental effects in structural health monitoring

Volume: 105, Pages: 1 - 15
Published: May 1, 2018
Abstract
This paper discusses the possibility of using the Mahalanobis squared-distance to perform robust novelty detection in the presence of important environmental variability in a multivariate feature vector. By performing an eigenvalue decomposition of the covariance matrix used to compute that distance, it is shown that the Mahalanobis squared-distance can be written as the sum of independent terms which result from a transformation from the...
Paper Details
Title
A comparison of linear approaches to filter out environmental effects in structural health monitoring
Published Date
May 1, 2018
Volume
105
Pages
1 - 15
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