On using robust Mahalanobis distance estimations for feature discrimination in a damage detection scenario
Abstract
In this study, a damage detection and localization scenario is presented for a composite laminate with a network of embedded fiber Bragg gratings. Strain time histories from a pseudorandom simulated operational loading are mined for multivariate damage-sensitive feature vectors that are then mapped to the Mahalanobis distance, a covariance-weighted distance metric for discrimination. The experimental setup, data acquisition, and feature...
Paper Details
Title
On using robust Mahalanobis distance estimations for feature discrimination in a damage detection scenario
Published Date
Jan 9, 2018
Journal
Volume
18
Issue
1
Pages
245 - 253
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