Linear projection techniques in damage detection under a changing environment - Inria - Institut national de recherche en sciences et technologies du numérique Access content directly
Conference Papers Year : 2013

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.

Dates and versions

hal-00954258 , version 1 (28-02-2014)

Identifiers

Cite

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, SEM, Feb 2013, Garden Grove, United States. ⟨10.1007/978-1-4614-6585-0_30⟩. ⟨hal-00954258⟩
34 View
0 Download

Altmetric

Share

Gmail Facebook Twitter LinkedIn More