Linear projection techniques in damage detection under a changing environment

Abstract : The merit of linear projections as a way to improve the resolution in damage detection under changing environmental conditions is examined. It is contended that if the data from the reference condition is balanced, in the sense that the number of feature vectors available for the various temperatures is similar, then projections, such as those in Principal Component Analysis and Factor Analysis, will not improve performance. Projections, however, help to control the false positive rate when the reference data set is not balanced. Analysis and simulation results suggest that previous claims on the merit of projection as a way to improve damage detection resolution under environmental variability may be too optimistic.
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Communication dans un congrès
IMAC - 31st International Modal Analysis Conference, Feb 2013, Garden Grove, United States. 2013, 〈10.1007/978-1-4614-6585-0_30〉
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https://hal.inria.fr/hal-00954258
Contributeur : Michael Döhler <>
Soumis le : vendredi 28 février 2014 - 18:07:01
Dernière modification le : vendredi 28 février 2014 - 18:07:01

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Salma Mozaffari Kojidi, Michael Döhler, Dionisio Bernal, Yang Liu. Linear projection techniques in damage detection under a changing environment. IMAC - 31st International Modal Analysis Conference, Feb 2013, Garden Grove, United States. 2013, 〈10.1007/978-1-4614-6585-0_30〉. 〈hal-00954258〉

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